SCHOOL OF ELECTRONICS
ENGINEERING
M. Tech Communication
Engineering
(M.Tech MCE)
Curriculum
(2018-2019 admitted students)
M.TECH (MCE) Page 2
VISION STATEMENT OF VELLORE INSTITUTE OF TECHNOLOGY
Transforming life through excellence in education and research.
MISSION STATEMENT OF VELLORE INSTITUTE OF
TECHNOLOGY
World class Education: Excellence in education, grounded in ethics and
critical thinking, for improvement of life.
Cutting edge Research: An innovation ecosystem to extend knowledge and
solve critical problems.
Impactful People: Happy, accountable, caring and effective workforce and
students.
Rewarding Co-creations: Active collaboration with national & international
industries & universities for productivity and economic development.
Service to Society: Service to the region and world through knowledge and
compassion.
VISION STATEMENT OF THE SCHOOL OF ELECTRONICS
ENGINEERING
To be a leader by imparting in-depth knowledge in Electronics Engineering,
nurturing engineers, technologists and researchers of highest competence, who
would engage in sustainable development to cater the global needs of industry
and society.
MISSION STATEMENT OF THE SCHOOL OF ELECTRONICS
ENGINEERING
Create and maintain an environment to excel in teaching, learning and
applied research in the fields of electronics, communication engineering
and allied disciplines which pioneer for sustainable growth.
Equip our students with necessary knowledge and skills which enable them
to be lifelong learners to solve practical problems and to improve the
quality of human life.
M.TECH (MCE) Page 3
M. Tech. Communication Engineering
PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)
1. Graduates will be engineering practitioners and leaders, who would
help solve industry’s technological problems
2. Graduates will be engineering professionals, innovators or
entrepreneurs engaged in technology development, technology
deployment, or engineering system implementation in industry
3. Graduates will function in their profession with social awareness
and responsibility
4. Graduates will interact with their peers in other disciplines in
industry and society and contribute to the economic growth of the
country
5. Graduates will be successful in pursuing higher studies in
engineering or management
6. Graduates will pursue career paths in teaching or research
M.TECH (MCE) Page 4
M. Tech Communication Engineering
PROGRAMME OUTCOMES (POs)
PO_01: Having an ability to apply mathematics and science in engineering
applications.
PO_03: Having an ability to design a component or a product applying all the
relevant standards and with realistic constraints, including public health, safety,
culture, society and environment
PO_04: Having an ability to design and conduct experiments, as well as to
analyse and interpret data, and synthesis of information
PO_05: Having an ability to use techniques, skills, resources and modern
engineering and IT tools necessary for engineering practice
PO_06: Having problem solving ability- to assess social issues (societal, health,
safety, legal and cultural) and engineering problems
PO_07: Having adaptive thinking and adaptability in relation to environmental
context and sustainable development
PO_08: Having a clear understanding of professional and ethical responsibility
PO_11: Having a good cognitive load management skills related to project
management and finance
M.TECH (MCE) Page 5
M. Tech Communication Engineering
ADDITIONAL PROGRAMME OUTCOMES (APOs)
APO_02: Having Sense-Making Skills of creating unique insights in what is
being seen or observed (Higher level thinking skills which cannot be codified)
APO_03: Having design thinking capability
APO_04: Having computational thinking (Ability to translate vast data in to
abstract concepts and to understand database reasoning
APO_07: Having critical thinking and innovative skills
APO_08: Having a good digital footprint
M.TECH (MCE) Page 6
M. Tech Communication Engineering
PROGRAMME SPECIFIC OUTCOMES (PSOs)
On completion of M. Tech. (Communication Engineering)
programme, graduates will be able to
PSO1: Apply advanced concepts of Communication Engineering to design and
develop more efficient next generation communication systems.
PSO2: Use modern technologies in both hardware, software to solve real-world
multidisciplinary problems
PSO3: Independently carry out research on diverse communication strategies to
address practical problems and present a substantial technical report.
M.TECH (MCE) Page 7
M. Tech Communication Engineering
CREDIT STRUCTURE
Category-wise Credit distribution
Category Credits
University core (UC) 27
Programme core (PC) 19
Programme elective (PE) 18
University elective (UE) 06
Bridge course (BC) -
Total credits 70
M.TECH (MCE) Page 8
M. Tech Communication Engineering
DETAILED CURRICULUM
University Core
S. No Course Code Course title L T P J C
1 MAT 5006 Mathematics for Communication
Engineering 3 0 0 0 3
2 ENG5001
ENG5002
GER 5001
Fundamentals of Communication Skills
Professional and Communication Skills
(OR)
Deutsch fuer Anfaenger
0
0
2
0
0
0
2
2
0
0
0
0
1
1
2
3 STS5001
STS5002
Soft Skills
Soft Skills - - - - 2
4 SET5001
SET5002
SET Projects
SET Projects - - - - 4
5 ECE 6099 Master’s Thesis - - - - 16
Total Credits 27
M. Tech Communication Engineering
Programme Core
S. No. Course Code Course title L T P J C
1. ECE 5005 Advances in Wireless Networks 2 0 2 4 4
2. ECE 5010 Advanced Digital Communication 2 0 2 4 4
M.TECH (MCE) Page 9
M. Tech Communication Engineering
Programme Elective
S. No. Course Code Course title L T P J C
1. ECE 6010 High Performance Communication Networks 3 0 0 0 3
2. ECE 6011 Mobile Adhoc Networks 3 0 0 0 3
3. ECE 6012 Modern Wireless Communication Systems 3 0 0 4 4
4. ECE 6013 Modeling of Wireless Communication Systems 3 0 2 0 4
5. ECE 6014 Modern Satellite Communication 3 0 0 0 3
6. ECE 6015 Coding for MIMO Communication 3 0 0 0 3
7. ECE 6016 Advanced Wireless Sensor Networks 2 0 2 0 3
8. ECE 6017 RF and Microwave Circuit Design 2 0 2 4 4
9. ECE 6018 Microwave Integrated Circuits 3 0 0 0 3
10. ECE 6019 Image processing and Feature Extraction 3 0 2 0 4
11. ECE 6020 Multirate Systems 2 0 0 4 3
12. ECE 6021 Adaptive Signal Processing 2 0 0 4 3
13. ECE 6022 Optical Broadband Access Networks 2 0 0 4 3
14. ECE 6023 RF MEMS 3 0 0 0 3
15. CSE 6051 Information and Network Security 3 0 0 0 3
3. ECE 5011 Advanced Digital Signal Processing 2 0 2 4 4
4. ECE 5012 Advanced Antenna Engineering 3 0 2 0 4
5. ECE 5013 Fiber Optic Communication and Networks 2 0 2 0 3
Total Credits 19
M.TECH (MCE) Page 10
Course Code Course Title L T P J C
MAT5006 Mathematics for Communication Engineering 3 0 0 0 3
Pre-requisite None Syllabus version
1.0
Course Objectives:
1. To build the strong foundation in Mathematics in students needed for the field of
Communication Engineering.
2. To provide the mathematics fundamentals necessary to formulate, solve and analyse
complex engineering problems.
3. To apply reasoning by the contextual knowledge to engineering practice.
4. To work as teams on multi-disciplinary projects.
Expected Course Outcomes:
At the end of this course, the students are expected to
1. Apply matrix theory in Communication Engineering problems.
2. Calculate gradients, derivatives and its applications
3. Apply the constrained optimization for approximate solutions.
4. Do statistical modelling and analysis of Communication Systems
5. Apply Markovian process and distinguish the utility of queuing models.
Student Learning Outcomes (SLO): 7, 9, 18
7. Having computational thinking.
9. Having problem solving ability- solving social issues and engineering problems
18. Having critical thinking and innovative skills
Module:1 Basic Matrix Concepts 6 hours
Linear equations and matrix representations, Determinants. Vector spaces- Basis and
dimension, Norms and inner-products, The Cauchy- Schwarz inequality,
Direction of vectors, weighted inner products, Expectation as an inner product, Hilbert
and Banach spaces, orthogonal subspaces, null space, column space, row space.
Projection matrices.
Module:2 Matrix Factorizations and applications 9 hours
M.TECH (MCE) Page 11
The LU factorization-Methods of Crout and Cholesky factorization, unitary matrices and
the QR factorization, Eigen values, Eigen vectors, EVD, whitening, Pseudo inverses and
the SVD, numerically sensitive problems, Rank-reducing approximations.
Module:3 Some Special Matrices and their Applications 4 hours
Circulant matrices, Toeplitz matrices. Kronecker Products - Some applications
of Kronecker products.
Module:4 Derivatives and gradients 4 hours
Derivatives of vectors and scalars, products of matrices, powers of a matrix,
Modifications for derivatives of complex vectors and matrices, first order systems
Module:5 Theory of Constrained optimization 5 hours
Basic definitions, definitions of constrained optimization, equality constraints:
Lagrange multipliers.
Module:6 Probability and random processes 7 hours
Random vectors, transformations, joint moments, joint characteristic function,
correlation, covariance matrices - properties. Vector Gaussian, Q-function,
Circular complex Gaussian, various transformations, Gaussian random vectors,
Rayleigh, Rician, Nagakami distributions, probability of error upper
bounds for M-ary modulations.
Module:7 Markov Chains Queuing theory 8 hours
Markov Process, Markov chains, Birth-Death process- Characteristics of queuing
models –Kendall’s notation - Transient and Steady States and Difference
equations related to Poisson Queue systems – Single server and Multiple Server
Poisson queue Models with Finite and Infinite capacity.
Module:8 Contemporary issues: Expert Lecture 2 hours
Applications of Constrained optimization and Queuing Theory
Total Lecture hours: 45 hours
M.TECH (MCE) Page 12
Text Book(s)
1
2
3
Todd.K. Moon and Wynne Stirling, Mathematical methods and algorithms for signal
processing, 2000, Prentice Hall, 2000. New York.
John G. Proakis, Masoud Salehi, Digital Communications, 2008, 5thedition,
McGrawHill.
T.Veerarajan, Probability, Statistics and Random Processes, 2009, 3rd edition,
McGrawHill.
Reference Books
1. Gilbert Strang, Introduction to Linear Algebra, 2009, 4th edition, Wellesley-Cambridge
press.
2. E. Larsson, P. Stoica, Space time block coding for wireless communications, 2003,
Cambridge University press.
3. P.P. Vaidyanadhan, Multirate systems and filter banks, 1993, Pearson India.
Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon, Statistical and adaptive
signal processing: Spectral estimation, signal modelling, adaptive filtering and
array processing, 2005, Artech House.
4. Athanasios Papoulis, S Pillai , Probability, Random Variables and Stochastic
Processes, 2014 (reprint), 4th Edition, McGraw-Hill.
5. Kishor S. Trivedi, Probability and Statistics with Reliability, Queuing, and Computer
Science Applications, 2016, 2nd Edition, John-Wiley & Sons.
Mode of Evaluation: CAT / Assignment / Quiz / FAT / Project / Seminar
Recommended by Board of Studies 09-03-2016
Approved by Academic Council No. 40 Date 18-03-2016
Course Code Course Title L T P J C
ENG5001 Fundamentals of Communication Skills 0 0 2 0 1
M.TECH (MCE) Page 13
Pre-requisite Not cleared EPT (English Proficiency Test) Syllabus version
1.0
Course Objectives:
1. To enable learners learn basic communication skills - Listening, Speaking, Reading and Writing
2. To help learners apply effective communication in social and academic context
3. To make students comprehend complex English language through listening and reading
Expected Course Outcome:
1. Enhance the listening and comprehending skills of the learners
2.Acquire speaking skills to express their thoughts freely and fluently
3.Learn strategies for effective reading
4.Write grammatical correct sentences in general and academic writing
5. Develop technical writing skills like writing instructions, transcoding etc.,
Student Learning Outcomes (SLO): 16, 18
Module:1 Listening 8 hours
Understanding Conversation
Listening to Speeches
Listening for Specific Information
Module:2 Speaking 4 hours
Exchanging Information Describing Activities, Events and Quantity
Module:3 Reading 6 hours
Identifying Information
Inferring Meaning
Interpreting text
Module:4 Writing: Sentence 8 hours
Basic Sentence Structure
Connectives
Transformation of Sentences
Synthesis of Sentences
M.TECH (MCE) Page 14
Module:5 Writing: Discourse 4 hours
Instructions
Paragraph Transcoding
Total Lecture hours: 30 hours
Text Book(s)
1. Redston, Chris, Theresa Clementson, and Gillie Cunningham. Face2face Upper Intermediate Student's Book, 2013, Cambridge University Press.
Reference Books
1
2.
3.
4.
5.
6.
Chris Juzwiak .Stepping Stones: A guided approach to writing sentences and Paragraphs
(Second Edition), 2012, Library of Congress.
Clifford A Whitcomb & Leslie E Whitcomb, Effective Interpersonal and Team
Communication Skills for Engineers, 2013, John Wiley & Sons, Inc., Hoboken: New Jersey.
ArunPatil, Henk Eijkman &Ena Bhattacharya, New Media Communication Skills for Engineers and IT Professionals,2012, IGI Global, Hershey PA.
Judi Brownell, Listening: Attitudes, Principles and Skills, 2016, 5th Edition, Routledge:USA
John Langan, Ten Steps to Improving College Reading Skills, 2014, 6th Edition, Townsend Press:USA
Redston, Chris, Theresa Clementson, and Gillie Cunningham. Face2face Upper Intermediate Teacher's Book. 2013, Cambridge University Press.
Authors, book title, year of publication, edition number, press, place
Mode of Evaluation: CAT / Assignment / Quiz / FAT / Project / Seminar
List of Challenging Experiments (Indicative)
1. Familiarizing students to adjectives through brainstorming adjectives with
all letters of the English alphabet and asking them to add an adjective that
starts with the first letter of their name as a prefix.
2 hours
2. Making students identify their peer who lack Pace, Clarity and Volume
during presentation and respond using Symbols.
4 hours
3. Using Picture as a tool to enhance learners speaking and writing skills 2 hours
4. Using Music and Songs as tools to enhance pronunciation in the target
language / Activities through VIT Community Radio
2 hours
5. Making students upload their Self- introduction videos in Vimeo.com 4 hours
M.TECH (MCE) Page 15
6. Brainstorming idiomatic expressions and making them use those in to their
writings and day to day conversation
4 hours
7. Making students Narrate events by adding more descriptive adjectives and
add flavor to their language / Activities through VIT Community Radio
4 hours
8 Identifying the root cause of stage fear in learners and providing remedies
to make their presentation better
4 hours
9 Identifying common Spelling & Sentence errors in Letter Writing and other
day to day conversations
2 hours
10. Discussing FAQ’s in interviews with answers so that the learner gets a
better insight in to interviews / Activities through VIT Community Radio
2 hours
Total Practical Hours 30 hours
Mode of evaluation: Online Quizzes, Presentation, Role play, Group Discussions, Assignments,
Mini Project
Recommended by Board of Studies 22-07-2017
Approved by Academic Council No. 46 Date 24-8-2017
M.TECH (MCE) Page 16
Course Code Course Title L T P J C
ENG5002 Professional and Communication Skills 0 0 2 0 1
Pre-requisite ENG5001 Syllabus version
1.1
Course Objectives:
1. To enable students to develop effective Language and Communication Skills
2. To enhance students’ Personal and Professional skills
3. To equip the students to create an active digital footprint
Expected Course Outcome:
1. Improve inter-personal communication skills
2. Develop problem solving and negotiation skills
3. Learn the styles and mechanics of writing research reports
4. Cultivate better public speaking and presentation skills
5. Apply the acquired skills and excel in a professional environment
Student Learning Outcomes (SLO): 16 & 18
Module:1 Personal Interaction 2 hours
Introducing Oneself- one’s career goals
Activity: SWOT Analysis
Module:2 Interpersonal Interaction 2 hours
Interpersonal Communication with the team leader and colleagues at the workplace
Activity: Role Plays/Mime/Skit
Module:3 Social Interaction 2 hours
Use of Social Media, Social Networking, gender challenges
Activity: Creating LinkedIn profile, blogs
M.TECH (MCE) Page 17
Module:4 Résumé Writing 4 hours
Identifying job requirement and key skills
Activity: Prepare an Electronic Résumé
Module:5 Interview Skills 4 hours
Placement/Job Interview, Group Discussions
Activity: Mock Interview and mock group discussion
Module:6 Report Writing 4 hours
Language and Mechanics of Writing
Activity: Writing a Report
Module:7 Study Skills: Note making 2hours
Summarizing the report
Activity: Abstract, Executive Summary, Synopsis
Module:8 Interpreting skills 2 hours
Interpret data in tables and graphs
Activity: Transcoding
Module:9 Presentation Skills 4 hours
Oral Presentation using Digital Tools
Activity: Oral presentation on the given topic using appropriate non-verbal cues
Module:10 Problem Solving Skills 4 hours
Problem Solving & Conflict Resolution
Activity: Case Analysis of a Challenging Scenario
Total Lecture hours: 30 hours
Text Book(s)
M.TECH (MCE) Page 18
1. Bhatnagar Nitin and Mamta Bhatnagar, Communicative English For Engineers And
Professionals, 2010, Dorling Kindersley (India) Pvt. Ltd.
Reference Books
1. Jon Kirkman and Christopher Turk, Effective Writing: Improving Scientific, Technical and
Business Communication, 2015, Routledge
2. Diana Bairaktarova and Michele Eodice, Creative Ways of Knowing in Engineering, 2017,
Springer International Publishing
3. Clifford A Whitcomb & Leslie E Whitcomb, Effective Interpersonal and Team
Communication Skills for Engineers, 2013, John Wiley & Sons, Inc., Hoboken: New Jersey.
4. ArunPatil, Henk Eijkman & Ena Bhattacharya, New Media Communication Skills for
Engineers and IT Professionals, 2012, IGI Global, Hershey PA.
Mode of Evaluation: CAT / Assignment / Quiz / FAT / Project / Seminar
List of Challenging Experiments (Indicative)
1. SWOT Analysis – Focus specially on describing two strengths and two
weaknesses
2 hours
2. Role Plays/Mime/Skit -- Workplace Situations 4 hours
3. Use of Social Media – Create a LinkedIn Profile and also write a page or
two on areas of interest
2 hours
4. Prepare an Electronic Résumé and upload the same in vimeo 2 hours
5. Group discussion on latest topics 4 hours
6 Report Writing – Real-time reports 2 hours
7 Writing an Abstract, Executive Summary on short scientific or research
articles
4 hours
8 Transcoding – Interpret the given graph, chart or diagram 2 hours
9 Oral presentation on the given topic using appropriate non-verbal cues 4 hours
10 Problem Solving -- Case Analysis of a Challenging Scenario 4 hours
Total Laboratory Hours 30 hours
Mode of evaluation: : Online Quizzes, Presentation, Role play, Group Discussions, Assignments,
Mini Project
Recommended by Board of Studies 22-07-2017
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 19
Course Code Course Title L T P J C
GER5001 Deutsch für Anfänger 2 0 0 0 2
Pre-requisite NIL Syllabus version
v.1
Course Objectives:
The course gives students the necessary background to:
1. Enable to read and communicate in German in their day to day life
2. Become industry-ready
3. Make them understand the usage of grammar in the German Language.
Expected Course Outcome:
The students will be able to
1. Create the basics of German language in their day to day life.
2. Understand the conjugation of different forms of regular/irregular verbs.
3. Understand the rule to identify the gender of the Nouns and apply articles appropriately.
4. Apply the German language skill in writing corresponding letters, E-Mails etc.
5. Create the talent of translating passages from English-German and vice versa and To frame
simple dialogues based on given situations.
Student Learning Outcomes (SLO): 2,11
Module:1 3 hours
Einleitung, Begrüssungsformen, Landeskunde, Alphabet, Personalpronomen, Verb Konjugation,
Zahlen (1-100), W-fragen, Aussagesätze, Nomen – Singular und Plural
Lernziel:
Elementares Verständnis von Deutsch, Genus- Artikelwörter
Module:2 3 hours
Konjugation der Verben (regelmässig /unregelmässig) die Monate, die Wochentage, Hobbys,
Berufe, Jahreszeiten, Artikel, Zahlen (Hundert bis eine Million), Ja-/Nein- Frage, Imperativ mit
Sie
Lernziel :
Sätze schreiben, über Hobbys erzählen, über Berufe sprechen usw.
M.TECH (MCE) Page 20
Module:3 4 hours
Possessivpronomen, Negation, Kasus- AkkusatitvundDativ (bestimmter, unbestimmterArtikel),
trennnbare verben, Modalverben, Adjektive, Uhrzeit, Präpositionen, Mahlzeiten, Lebensmittel,
Getränke
Lernziel :
Sätze mit Modalverben, Verwendung von Artikel, über Länder und Sprachen sprechen, über eine
Wohnung beschreiben.
Module:4 6 hours
Übersetzungen : (Deutsch – Englisch / Englisch – Deutsch)
Lernziel :
Grammatik – Wortschatz – Übung
Module:5 5 hours
Leseverständnis,Mindmap machen,Korrespondenz- Briefe, Postkarten, E-Mail
Lernziel :
Wortschatzbildung und aktiver Sprach gebrauch
Module:6 . 3 hours
Aufsätze :
Meine Universität, Das Essen, mein Freund oder meine Freundin, meine Familie, ein Fest in
Deutschland usw
Module:7 4 hours
Dialoge:
a) Gespräche mit Familienmitgliedern, Am Bahnhof,
b) Gespräche beim Einkaufen ; in einem Supermarkt ; in einer Buchhandlung ;
c) in einem Hotel - an der Rezeption ;ein Termin beim Arzt.
Treffen im Cafe
Module:8 2 hours
Guest Lectures/Native Speakers / Feinheiten der deutschen Sprache, Basisinformation über die
deutschsprachigen Länder
M.TECH (MCE) Page 21
Total Lecture hours: 30 hours
Text Book(s)
1. Studio d A1 Deutsch als Fremdsprache, Hermann Funk, Christina Kuhn, Silke
Demme : 2012
Reference Books
1 Netzwerk Deutsch als Fremdsprache A1, Stefanie Dengler, Paul Rusch, Helen Schmtiz, Tanja
Sieber, 2013
2 Lagune ,Hartmut Aufderstrasse, Jutta Müller, Thomas Storz, 2012.
3 Deutsche SprachlehrefürAUsländer, Heinz Griesbach, Dora Schulz, 2011
4 ThemenAktuell 1, HartmurtAufderstrasse, Heiko Bock, MechthildGerdes, Jutta Müller und
Helmut Müller, 2010
www.goethe.de
wirtschaftsdeutsch.de
hueber.de
klett-sprachen.de
www.deutschtraning.org
Mode of Evaluation: CAT / Assignment / Quiz / Seminar / FAT
Recommended by Board of Studies 04-03-2016
Approved by Academic Council 41 Date 17-06-2016
M.TECH (MCE) Page 22
Course Code Course Title L T P J C
STS 5001 Essentials of Business Etiquette and problem solving 3 0 0 0 1
Pre-requisite None Syllabus version
Course Objectives:
1. To develop the students’ logical thinking skills
2. To learn the strategies of solving quantitative ability problems
3. To enrich the verbal ability of the students
4. To enhance critical thinking and innovative skills
Expected Course Outcome:
1. Enabling students to use relevant aptitude and appropriate language to express themselves
2. To communicate the message to the target audience clearly
3. The students will be able to be proficient in solving quantitative aptitude and verbal ability
questions of various examinations effortlessly
Student Learning Outcomes (SLO): 7, 9, 12
7. Having computational thinking (Ability to translate vast data in to abstract concepts and to
understand database reasoning)
9. Having problem solving ability- solving social issues and engineering problems
12. Having adaptive thinking and adaptability
Module:1 Business Etiquette: Social and Cultural Etiquette and Writing
Company Blogs and Internal Communications and Planning
and Writing press release and meeting notes
9 hours
Value, Manners, Customs, Language, Tradition, Building a blog, Developing brand message,
FAQs', Assessing Competition, Open and objective Communication, Two way dialogue,
Understanding the audience, Identifying, Gathering Information, Analysis, Determining, selecting
plan, Progress check, Types of planning, Write a short, catchy headline, Get to the Point –
summarize your subject in the first paragraph., Body – Make it relevant to your audience,
Module:2 Study skills – Time management skills 3 hours
Prioritization, Procrastination, Scheduling, Multitasking, Monitoring, working under pressure and
adhering to deadlines
M.TECH (MCE) Page 23
Module:3 Presentation skills – Preparing presentation and Organizing
materials and Maintaining and preparing visual aids and
Dealing with questions
7 hours
10 Tips to prepare PowerPoint presentation, Outlining the content, Passing the Elevator Test, Blue
sky thinking, Introduction , body and conclusion, Use of Font, Use of Color, Strategic presentation,
Importance and types of visual aids, Animation to captivate your audience, Design of posters,
Setting out the ground rules, Dealing with interruptions, Staying in control of the questions,
Handling difficult questions
Module:4 Quantitative Ability -L1 – Number properties and Averages
and Progressions and Percentages and Ratios
11 hours
Number of factors, Factorials, Remainder Theorem, Unit digit position, Tens digit position,
Averages, Weighted Average, Arithmetic Progression, Geometric Progression, Harmonic
Progression, Increase & Decrease or successive increase, Types of ratios and proportions
Module:5 Reasoning Ability-L1 – Analytical Reasoning 8 hours
Data Arrangement (Linear and circular & Cross Variable Relationship), Blood Relations,
Ordering/ranking/grouping, Puzzle test, Selection Decision table
Module:6 Verbal Ability-L1 – Vocabulary Building 7 hours
Synonyms & Antonyms, One-word substitutes, Word Pairs, Spellings, Idioms, Sentence
completion, Analogies
Total Lecture hours: 45 hours
Reference Books
1. Kerry Patterson, Joseph Grenny, Ron McMillan, Al Switzler, Crucial Conversations: Tools
for Talking When Stakes are High, 2001, McGraw‐Hill Contemporary, Bangalore.
2. Dale Carnegie, How to Win Friends and Influence People, 1936, New York. Gallery Books
3. Scott Peck. M, Road Less Travelled. 1978, New York City.
4. FACE, Aptipedia Aptitude Encyclopedia, 2016. Delhi. Wiley publications
5. ETHNUS, Aptimithra, 2013, McGraw-Hill Education Pvt. Ltd, Bangalore.
Websites:
1. www.chalkstreet.com
2. www.skillsyouneed.com
3. www.mindtools.com
M.TECH (MCE) Page 24
4. www.thebalance.com
5. www.eguru.ooo
Mode of Evaluation: FAT, Assignments, Projects, Case studies, Role plays, 3 Assessments with
Term End FAT (Computer Based Test)
M.TECH (MCE) Page 25
Course Code Course Title L T P J C
STS5002 Preparing for Industry 3 0 0 0 1
Pre-requisite None Syllabus version
1
Course Objectives:
1. To challenge students to explore their problem-solving skills
2. To develop essential skills to tackle advance quantitative and verbal ability questions
3. To have working knowledge of communicating in English
Expected Course Outcome:
1. Enabling students to simplify, evaluate, analyze and use functions and expressions to simulate
real situations to be industry ready.
2. The students will be able to interact confidently and use decision making models effectively
3. The students will be able to be proficient in solving quantitative aptitude and verbal ability
questions of various examinations effortlessly
Student Learning Outcomes (SLO): 9, 10
9. Having problem solving ability- solving social issues and engineering problems
10. Having a clear understanding of professional and ethical responsibility
Module:1 Interview skills – Types of interview and Techniques to
face remote interviews and Mock Interview
3 hours
Structured and unstructured interview orientation, Closed questions and hypothetical questions,
Interviewers' perspective, Questions to ask/not ask during an interview, Video interview¸
Recorded feedback, Phone interview preparation, Tips to customize preparation for personal
interview, Practice rounds
Module:2 Resume skills – Resume Template and Use of power
verbs and Types of resume and Customizing resume
2 hours
Structure of a standard resume, Content, color, font, Introduction to Power verbs and Write up, Quiz
on types of resume, Frequent mistakes in customizing resume, Layout - Understanding different
company's requirement, Digitizing career portfolio
Module:3 Emotional Intelligence - L1 – Transactional Analysis and
Brain storming and Psychometric Analysis and Rebus
Puzzles/Problem Solving
12 hours
Introduction, Contracting, ego states, Life positions, Individual Brainstorming, Group
Brainstorming, Stepladder Technique, Brain writing, Crawford's Slip writing approach, Reverse
M.TECH (MCE) Page 26
brainstorming, Star bursting, Charlette procedure, Round robin brainstorming, Skill Test,
Personality Test, More than one answer, Unique ways
Module:4 Quantitative Ability-L3 – Permutation-Combinations
and Probability and Geometry and mensuration and
Trigonometry and Logarithms and Functions and
Quadratic Equations and Set Theory
14 hours
Counting, Grouping, Linear Arrangement, Circular Arrangements, Conditional Probability,
Independent and Dependent Events, Properties of Polygon, 2D & 3D Figures, Area & Volumes,
Heights and distances, Simple trigonometric functions, Introduction to logarithms, Basic rules of
logarithms, Introduction to functions, Basic rules of functions, Understanding Quadratic Equations,
Rules & probabilities of Quadratic Equations, Basic concepts of Venn Diagram
Module:5 Reasoning ability-L3 – Logical reasoning and Data
Analysis and Interpretation
7 hours
Syllogisms, Binary logic, Sequential output tracing, Crypto arithmetic, Data Sufficiency, Data
interpretation-Advanced, Interpretation tables, pie charts & bar chats
Module:6 Verbal Ability-L3 – Comprehension and Logic 7 hours
Reading comprehension, Para Jumbles, Critical Reasoning (a) Premise and Conclusion, (b)
Assumption & Inference, (c) Strengthening & Weakening an Argument
Total Lecture hours: 45 hours
References
1. Michael Farra and JIST Editors, Quick Resume & Cover Letter Book: Write and Use an
Effective Resume in Just One Day, 2011. Saint Paul, Minnesota. Jist Works
2. Daniel Flage Ph.D, The Art of Questioning: An Introduction to Critical Thinking, (2003),
London. Pearson
3. FACE, Aptipedia Aptitude Encyclopedia, 2016, Wiley publications, Delhi.
Mode of Evaluation: FAT, Assignments, Projects, Case studies, Role plays, 3 Assessments with
Term End FAT (Computer Based Test)
M.TECH (MCE) Page 27
Course Code Course Title L T P J C
SET5001 SCIENCE, ENGINEERING AND TECHNOLOGY
PROJECT– I
2
Pre-requisite Syllabus Version
1.10
Course Objectives:
To provide opportunity to involve in research related to science / engineering
To inculcate research culture
To enhance the rational and innovative thinking capabilities
Expected Course Outcome:
On completion of this course, the student should be able to:
1. Identify problems that have relevance to societal / industrial needs
2. Exhibit independent thinking and analysis skills
3. Demonstrate the application of relevant science / engineering principles
SLO : 14, 18 & 20
Modalities / Requirements
1. Individual or group projects can be taken up
2. Involve in literature survey in the chosen field
3. Use Science/Engineering principles to solve identified issues
4. Adopt relevant and well-defined / innovative methodologies to fulfill the specified objective
5. Submission of scientific report in a specified format (after plagiarism check)
Student Assessment : Periodical reviews, oral/poster presentation
Recommended by Board of Studies 17-08-2017
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 28
Course Code Course Title L T P J C
SET5002 SCIENCE, ENGINEERING AND TECHNOLOGY
PROJECT– II
2
Pre-requisite Syllabus Version
1.10
Course Objectives:
1. To provide opportunity to involve in research related to science / engineering
2. To inculcate research culture
3. To enhance the rational and innovative thinking capabilities
Expected Course Outcome:
On completion of this course, the student should be able to:
1. Identify problems that have relevance to societal / industrial needs
2. Exhibit independent thinking and analysis skills
3. Demonstrate the application of relevant science / engineering principles
SLO : 14, 18 & 20
Modalities / Requirements
1. Individual or group projects can be taken up
2. Involve in literature survey in the chosen field
3. Use Science/Engineering principles to solve identified issues
4. Adopt relevant and well-defined / innovative methodologies to fulfill the specified objective
5. Submission of scientific report in a specified format (after plagiarism check)
Student Assessment : Periodical reviews, oral/poster presentation
Recommended by Board of Studies 17-08-2017
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 29
Course Code Course Title L T P J C
ECE6099 Masters Thesis 0 0 0 0 16
Pre-requisite As per the academic regulations Syllabus version
1.0
Course Objectives:
To provide sufficient hands-on learning experience related to the design, development and
analysis of suitable product / process so as to enhance the technical skill sets in the chosen
field.
Expected Course Outcome:
At the end of the course the student will be able to
1. Formulate specific problem statements for ill-defined real life problems with
reasonable assumptions and constraints.
2. Perform literature search and / or patent search in the area of interest.
3. Conduct experiments / Design and Analysis / solution iterations and document the
results.
4. Perform error analysis / benchmarking / costing
5. Synthesise the results and arrive at scientific conclusions / products / solution
6. Document the results in the form of technical report / presentation
Student Learning Outcomes (SLO): 5, 6, 20
Contents
1. Capstone Project may be a theoretical analysis, modeling & simulation, experimentation &
analysis, prototype design, fabrication of new equipment, correlation and analysis of data,
software development, applied research and any other related activities.
2. Project should be for two semesters based on the completion of required number of credits
as per the academic regulations.
3. Should be individual project.
4. In case of group projects, the individual project report of each student should specify the
individual’s contribution to the group project.
5. Carried out inside or outside the university, in any relevant industry or research institution.
6. Publications in the peer reviewed journals / International Conferences will be an added
advantage
Mode of Evaluation: Periodic reviews, Presentation, Final oral viva, Poster submission
Recommended by Board of Studies 10-06-2015
Approved by Academic Council No. 37 Date 16-06-2015
M.TECH (MCE) Page 30
M.TECH (MCE) Page 31
Programme Core
Course Code Course Title L T P J C
ECE5005 Advances in Wireless Networks 2 0 2 4 4
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To teach the basics of wireless networks and its services from 1G to 5G.
2. To acquaint with 3GPP based wireless IP networks and its architecture.
3. To teach the operation of LTE network, IMS architecture, inter networking concepts, addressing
and registration process in wireless networks.
4. To teach the significance of mobility management in next generation network and its QoS
challenges.
Course Outcomes:
1. Understand the different types of wireless standards and its services.
2. Comprehend the principles of 3GPP Packet Data Network Architecture, Packet Data Protocol
(PDP) and accessing IP network through PS domain.
3. Comprehend the architecture of LTE network, protocol architecture and inter working with other
RATs.
4. Comprehend the architecture of IP Multimedia Subsystem (IMS) and addressing procedure of
IMS.
5. Analyze the mobility management IP based 3GPP and LTE networks.
6. Examine the QoS in Wireless IP networks.
7. Evaluate the performance of routing protocol, handover procedure and throughput of different
network (3G and 4G Network) using Qualnet and NetSim tools.
8. Design and analyze the system parameters and QoS of next generation network using 3GPP and
IEEE standards.
Student Learning Outcomes (SLO): 6,11,14
6. Having ability to design a component or a product applying all the relevant standards and with
realistic constraints.
11. Having interest in lifelong learning.
14. Having an ability to design and conduct experiments, as well as to analyze and interpret data.
Module:1 Evolution of Wireless Standards 4 hours
Evolution of wireless networks and services, Introduction to 1G/2G/3G/4G/5G, Motivation for IP
based wireless networks, Long Term Evolution (LTE), Technologies for LTE, Evolutions from LTE
to LTE-A - WiMAX Evolution (IEEE 802.16 family), Cognitive radio (IEEE 802.22).
Module:2 Wireless IP Network Architecture 6 hours
M.TECH (MCE) Page 32
3GPP packet data networks, Network architecture, Packet Data Protocol (PDP), Context,
Configuring PDP addresses on mobile stations, Accessing IP networks through PS domain.
Module:3 LTE Network Architecture 3 hours
LTE network architecture, Roaming architecture, Protocol architecture, Bearer establishment
procedure, Inter, Working with other RATs
Module:4 IP Multimedia Subsystem 4 hours
IP Multimedia Subsystem (IMS), IMS architecture, Mobile station addressing for accessing the
IMS, Registration and deregistration with the IMS, End-to-End signaling flows
Module:5 Mobility Management in IP and 3GPP 6 hours
Basic issues in mobility management, Location management, Mobility management in IP networks,
MIPv4 regional registration, SIP-based mobility management, Cellular IP, HAWAII, Mobility
management in 3GPP packet networks, Packet Mobility Management (PMM), Context- paging
initiated by Packet-Switched Core Network
Module:6 Mobility Management in LTE Networks 2 hours
Intra-LTE mobility, Inter-RAT mobility, Mobility over X2 interface
Module:7 Quality of Service 3 hours
QoS challenges in wireless IP Networks, QoS in 3GPP, QoS architecture, Management and classes,
QoS attributes, Management of End-to-End IP QoS, EPS bearers and QoS in LTE networks.
Module:8 Contemporary issues: 2 hours
Total Lecture hours: 30 hours
Text Book(s)
1. Jyh-Cheng Chen, Tao Zhang, IP-Based Next-Generation Wireless Networks Systems,
Architectures, and Protocols, 2012, 2nd Edition, John Wiley & Sons, New Jersey.
2. StefaniaSesia, IssamToufik, Matthew Baker, LTE – The UMTS Long Term Evolution From
Theory to Practice, 2011, 2nd Edition, John Wiley & Sons, New Jersey.
M.TECH (MCE) Page 33
Reference Books
1. Ayman ElNashar, Mohamed El-saidny, Mahmoud Sherif, Design, Deployment and
Performance of 4G-LTE Networks: A Practical Approach, 2014, 1st Edition, John Wiley &
Sons, New Jersey.
2. Jonathan Rodriguez, Fundamentals of 5G Mobile Networks, 2015, 1st Edition, Wiley
Publications, United States.
3. Savo Glisic, Advanced Wireless Networks: 5G Technology, 2016, 1st Edition, Wiley
Publications, United States.
4. http://www.cse.wustl.edu/~jain/cse574-14/index.html
Mode of Evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
List of Challenging Experiments (Indicative)
1. Implement any two scheduling methods in LTE networks for various traffics
and scenarios. Also, propose an improved scheduling from any one of those
scheduling methods.
3 hours
2. Develop UMTS architecture to route packet data from the user equipment to
the IP network and evaluate the network performance in terms of throughput,
delay and jitter.
3 hours
3. Design an UMTS network to perform handoff between UE in a UMTS
network within a single SGSN and between two SGSNs
3 hours
4. Evaluate the performance of the following routing protocols for low and high
speed wireless networks:
(a) Bordercast Resolution Protocol (BRP)
(b) Location Aided Routing (LAR) Protocol
(c) Zone Routing Protocol (ZRP)
3 hours
5. Design a 3G network to route data between same PLMN but between two
different SGSN nodes and two different PLMN UMTS network
3 hours
6. Design an UMTS network to study the routing effects of OSPF ver. 2 on core
network components (HLR, GGSN and SGSN)
3 hours
7. Design a HSDPA network and evaluate its performance in terms of
throughput, delay and jitter.
3 hours
8. Design a WiMAX network to evaluate the performance of mobility models,
namely, file based mobility and random way point mobility.
3 hours
9. To analyse the performance (Energy Consumption and Delay) of
discontinuous reception in LTE networks (3GPP TS 36) for VoIP traffic.
3 hours
10. To analyse the performance (throughput, delay, jitter and packet loss rate) of
LTE network under Type I and Type II relay.
3 hours
Total laboratory hours 30 hours
Mode of evaluation :Continuous Assessment & Final Assessment Test (FAT)
Recommended by Board of Studies 13-12-2015
M.TECH (MCE) Page 34
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 35
Course Code Course Title L T P J C
ECE5010 Advanced Digital Communication 2 0 2 4 4
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To introduce the concept of digital base-band data transmission through a band limited channel.
2. To familiarize the student with concept of binary and M-ary band-pass modulation schemes.
3. To introduce the advanced channel coding techniques to minimize the probability of error.
4. To acquaint with the emerging trends in digital communication field.
Course Outcomes:
1. Design matched filter for detection of digital signals in the presence of white Gaussian noise.
2. Design waveforms to overcome ISI in band-limited channels.
3. Design equalization circuits to overcome the effect of channel distortion.
4. Compute probability of error for binary digital modulation schemes in the presence of AWGN.
5. Extend the binary modulation schemes to M-ary modulation for symbols.
6. Design turbo and LDPC codes to overcome the effect of noise in the channel.
7. Use MATLAB and Simulink to experiment and experience the above digital modulation
concepts.
8. Understand the IEEE standards research papers, replicate and extend those results.
Student Learning Outcomes (SLO): 1,2,17
1. Having an ability to apply mathematics and science in engineering applications.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
17. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice.
Module:1 Introduction to Detection and Estimation Theory 4 hours
Detection of known signals in noise, Correlation receiver, Matched filter receiver, Detection of
signals with unknown phase in noise. Minimum mean square error estimator, Maximum a posteriori
estimator, Maximum likelihood estimation, Cramer Rao bound (CRB) for parameter estimation.
Module:2 Baseband Transmission Techniques 3 hours
Digital transmission through band limited channels, Power spectrum of digitally modulated signals,
Signal design for band limited channels, Band limited signal design for zero ISI, Band limited signal
design for controlled ISI.
Module:3 Baseband Reception Techniques 3 hours
M.TECH (MCE) Page 36
Probability of error in detection of digital PAM, Eye pattern, Channel equalization, Linear
Equalizers, Adaptive equalizers, Decision feedback equalizers, Fractionally spaced equalizers.
Module:4 Binary Bandpass Modulation Schemes 5 hours
Binary modulation schemes, Coherent and non-coherent detection of binary modulation schemes,
Performance analysis of binary modulation schemes under AWGN channel, Minimum Shift Keying
(MSK), Gaussian Minimum Shift Keying (GMSK).
Module:5 M-ary Bandpass Modulation Schemes 5 hours
M-ary Phase Shift Keying, M-ary Quadrature Amplitude Modulation, M-ary Frequency Shift
Keying, Performance analysis of M-ary modulation schemes under AWGN channel, Non-coherent
detection of M-ary orthogonal signals, Carrier and timing recovery, Synchronization, Applications.
Module:6 Trellis and Turbo Codes 4 hours
Convolutional codes, Viterbi Decoder for convolutional codes, Set partitioning, Trellis codes,
Turbo encoders, Turbo decoders, MAP decoder and Max-Log-Map decoder, Irregular and
Asymmetric turbo codes.
Module:7 LDPC Codes 4 hours
Regular LDPC codes, Gallager construction of LDPC codes, Gallager based decoding algorithm for
LDPC codes and its analysis, LDPC threshold, Irregular LDPC codes.
Module:8 Contemporary issues: 2 hours
Total lecture hours: 30 hours
Text Book(s)
1. Simon S. Haykin, Michael Moher, Communication Systems, 2012, 5th Edition, Wiley, India.
2. Shu Lin, Daniel J. Costello, Error Control Coding, 2011, 2nd Edition, Pearson Education, UK.
Reference Books
1. Marvin K. Simon, Sami M. Hinedi, William C. Lindsey, Digital Communication Techniques:
Signal Design and Detection, 2015, 1st Edition, Pearson Education, India.
M.TECH (MCE) Page 37
2. Richard J. Tervo, Practical Signals Theory with MATLAB Applications, 2013, 1st Edition,
Wiley, India.
3. http://nptel.ac.in/courses/117101051/
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
List of Challenging Experiments (Indicative)
1. Simple digital communication system: Simulate a simple communication
system which transmits a text message from the source to the destination.
Also, observe signals at different points of this communication system.
4 hours
2. Line Coding: Write a code which uses the below mentioned line coding
techniques to generate the baseband signal for the given text message. Also,
transmit the generated base band signal through AWGN channel. Analyse the
effect of channel noise on the reconstructed signal.
(a) Unipolar
(b) Polar
(c) Bipolar
(d) Differential coding (Mark and Space)
4 hours
3. Bandpass Modulation: Write a code which uses below mentioned band pass
modulation techniques to generate the modulated signal for the given text
message. Transmit the modulated signal through AWGN channel. Detect the
transmitted message using the suitable rules. Plot the necessary graphs.
(a) BASK
(b) BPSK
(c) BFSK
(d) DPSK
4 hours
4. Probability of error analysis
(a) Consider a bit sequence of length 10,000. Modulate it with BPSK,
BASK, BFSK. Transmit the signal through AWGN channel. Vary the
SNR. Compare the theoretical and simulated probability of error.
(b) Consider a bit sequence of length 10,000. Modulate it with BPSK,
QPSK and 8-PSK. Transmit the signal through AWGN channel. Vary
the SNR. Compare the theoretical and simulated probability of error.
(c) Consider a bit sequence of length 10,000. Modulate it with 16-QAM and
64-QAM. Transmit the signal through AWGN channel. Vary the SNR.
Compare the theoretical and simulated probability of error.
(d) Consider a bit sequence of length 10,000. Modulate it with MSK.
Transmit the signal through AWGN channel. Vary the SNR. Compare
the theoretical and simulated probability of error.
6 hours
5. Channel coding
(a) Write a code to build the (3, 1, 3) repetition encoder. Map the encoder
output to BPSK symbols. Transmit the symbols through AWGN
channel. Investigate the error correction capability of the (3, 1, 3)
6 hours
M.TECH (MCE) Page 38
repetition code by comparing its BER performance with and without
using error correction code.
(b) Write a code to compare the BER performance and error correction
capability of (3, 1, 3) and (5, 1, 5) repetition codes. Assume BPSK
modulation and AWGN channel. Also, compare the simulated results
with the theoretical results.
(c) Write a code to compare the performance of hard decision and soft
decision Viterbi decoding algorithms. Assume BPSK modulation and
AWGN channel.
(d) Write a code to perform Trellis coded modulation for M-QAM and M-
PSK systems using Ungerboeck set partitioning principle.
6. Digital Modulation using Simulink: Build the transceiver chain for the
following modulation schemes with Simulink. Observe signals at different
points of communication system.
(a) M-PAM
(b) M-PSK
(c) M-QAM
6 hours
Total laboratory hours 30 hours
Mode of evaluation: Continuous Assessment & Final Assessment Test (FAT)
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 39
Course Code Course Title L T P J C
ECE5011 Advanced Digital Signal Processing 2 0 2 4 4
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To build advanced concepts in digital signal processing applicable for processing and analyzing
random process.
2. To familiarize with Signal Modelling and development of recursion techniques.
3. To design optimal filters using IIR and FIR filtering techniques.
4. To acquaint the students with contemporary use and build DSP systems for real time problems.
Course Outcomes:
1. Interpret the random processes in terms of stationarity, statistical independence and correlation.
2. Evaluate the theoretical and practical aspects of signal modelling based on computer algorithms.
3. Apply the mathematical concepts to design effective lattice system for random signal
processing.
4. Design and implement the optimum filters using Weiner and Kalman techniques.
5. Extend the concepts of adaptive algorithms to non- stationary signals.
6. Apply different algorithms for computation of power spectral density for the random signals.
7. Solve the real time signal processing problems either with application of programming skills/
hardware kit.
8. Design and implement advanced signal processing systems using the imbibed enhanced signal
processing concepts
Student Learning Outcomes (SLO): 1,2,17
1. Having an ability to apply mathematics and science in engineering applications
2. Having a clear understanding of the subject related concepts and of contemporary issues
17. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice
Module:1 Introduction 5 hours
Discrete-Time Signal Processing: Discrete-Time Signals, Discrete-Time Systems, Time-Domain
Descriptions of LSI Filters, Discrete-Time Fourier Transform, and z-Transform, Special Classes of
Filters, Filter Flow graphs, The DFT and FFT. Linear and Circular convolution.
Module:2 Discrete Time Random Processes 5 hours
Random Variables: Definitions, Ensemble Averages, Jointly Distributed Random Variables, Joint
Moments, Independent, Uncorrelated and Orthogonal Random Variables, Linear Mean Square
Estimation, Gaussian Random Variables Parameter Estimation: Bias and Consistency.
M.TECH (MCE) Page 40
Random Processes: Review, auto-covariance and autocorrelation Matrices, Ergodicity, White
Noise, Power Spectrum, Filtering Random Processes, Spectral Factorization.
Special Types of Random Processes: Autoregressive Moving Average Processes, Autoregressive
Processes, Moving Average Processes, Harmonic Processes.
Module:3 Signal Modelling 4 hours
Introduction, The Least Squares (Direct) Method, The Pad’e Approximation, Prony's Method-Pole-
Zero Modeling, Shank’s Method. Stochastic Models: Autoregressive Moving Average Models,
Autoregressive Models, Moving Average Models
Module:4 The Levinson –Durbin Recursion 3 hours
The Levinson-Durbin Recursion: Development of the Recursion, The Lattice Filter, Properties
Module:5 Optimal filters 4 hours
The FIR Wiener Filter: Filtering, Linear Prediction, Noise Cancellation, Lattice Representation for
the FIR Wiener Filter.
The IIR Wiener Filter: Non-causal IIR Wiener Filter, The Causal IIR Wiener Filter, Causal Wiener
Filtering, Causal Linear Prediction, Wiener Deconvolution.
Module:6 Introduction Adaptive Filters 3 hours
Discrete Kalman Filter, steepest descent algorithm, LMS, RLS
Module:7 Spectrum Estimation 4 hours
Non Parametric Methods Periodogram, The Modified Periodogram, Bartlett's Method, Welch's
Method, Blackman-Tukey Approach: Periodogram Smoothing, Performance Comparisons.
Parametric Methods- Autoregressive Spectrum Estimation, Moving Average Spectrum Estimation,
Autoregressive Moving Average Spectrum Estimation.
Module:8 Contemporary issues: 2 hours
Total lecture hours: 30 hours
Text Book(s)
1. Mitra, Sanjit Kumar, Yong hong Kuo, Digital signal processing: a computer-based approach,
M.TECH (MCE) Page 41
2013, 4th Edition, McGraw-Hill, New York.
2. Monson H. Hayes, Statistical digital signal processing and modeling, 2012, 1st Edition, Wiley,
India.
Reference Books
1. Richard G. Lyons, Understanding digital signal processing, 2011, 3rd Edition, Pearson
Education, India.
2. http://freevideolectures.com/Course/3042/Advanced-Digital-Signal-Processing
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
List of Challenging Experiments (Indicative)
1. Real time experiments using TMS6713 Processor
(a) Interfacing a function generator with TMS 6713 Processor through
codec with sampling rate of 96 KHz and display of the signal as a graph
in CC-Studio in a time window of 256 samples.
(b) Interfacing a function generator with TMS 6713 Processor through
codec with sampling rate of 96 KHz and display of the magnitude
spectrum of signal as a graph in CC-Studio for a time window of 256
samples by applying FFT for the samples.
(c) FIR-filtering (low/high/bandpass) of an audio input obtained through
microphone interface and output the result in the loud speaker.
(d) IIR-filtering (low/high/bandpass) of an audio input obtained through
microphone interface and output the result in the loud speaker.
10 hours
2. Simulation Experiments using Matlab
(a) Decimation and Interpolation of Band limited speech signal and
frequency domain analysis.
(b) Generation of various Random Processes MA, AR, ARMA.
(c) Implementation of FIR and IIR Wiener Filter for separating the desired
signal corrupted by AWGN and MSE calculation.
(d) Implementation of digital Kalman filter.
(e) ECHO Cancellation.
(f) Power spectrum estimation parametric method.
(g) Power spectrum estimation non parametric method.
(h) Implementation of Adaptive filter using LMS recursive algorithm.
20 hours
Total laboratory hours 30 hours
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 42
Course Code Course Title L T P J C
ECE5012 Advanced Antenna Engineering 3 0 2 0 4
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To provide the essential knowledge of the antenna parameters and measurements.
2. To design antenna array using synthesize techniques.
3. To design the single element microstrip antenna and array with feeder network
4. To introduce the types of high impedance surface antennas for various applications.
Course Outcomes:
1. Understand the radiation mechanism of antenna and to solve the numerical problems related to
antenna parameters.
2. Design and interpret non uniform excitation coefficients using array synthesis techniques for
minimum side lobe level.
3. Design and analyze rectangular and circular microstrip antenna with power divider network.
4. Understand the importance of defected ground structures and metamaterial surfaces and design
high impedance surfaces.
5. Exploit the antennas for wireless communication and radar applications.
6. Comprehend the working of antenna for Software defined and cognitive radio.
7. Acquire knowledge on different computational techniques.
Student Learning Outcomes (SLO): 2,4,5,14
2. Having a clear understanding of the subject related concepts and of contemporary issues
4. Having Sense-Making Skills of creating unique insights in what is being seen or observed (Higher
level thinking skills which cannot be codified)
5. Having design thinking capability
14. Having an ability to design and conduct experiments, as well as to analyze and interpret data
Module:1 Antenna Fundamentals 7 hours
Radiation Mechanism, antennas used in various applications and selection criteria, Antenna
measurements using anechoic chamber - Radiation pattern, Radiation Intensity, Power gain,
Directivity, impedance, Radiation efficiency, Polarization
Module:2 Antenna Array Synthesis 8 hours
Fourier Transform - Woodward-Lawson Sampling - Schelkunoff Method- Dolph-Tchebyscheff -
Taylor Line Source Method
M.TECH (MCE) Page 43
Module:3 Microstrip Antennas 6 hours
Basic characteristics, feeding methods, Methods of analysis – Transmission line model and cavity
model - Design of Rectangular patch, Circular patch –Microstrip antenna array and feed network.
Module:4 Antenna Design Techniques 6 hours
Antenna Design using Artificial Impedance Surface Metamaterial- Electromagnetic Band Gap-
Defective Ground Structure - High Impedance Surface
Module:5 Antenna Applications –I 6 hours
Integrated Antenna for wireless personal communication, mobile communication- Antenna design
consideration for MIMO diversity systems - medical therapy
Module:6 Antenna Applications- II 6 hours
Antenna for Software Defined Radio – Cognitive Radio- Electronic Warfare- Ground penetrating
Radar
Module:7 Computational Electromagnetic for Antennas 4 hours
Method of moments (MoM), Finite element method (FEM), Finite difference time domain method
(FDTD)
Module:8 Contemporary issues: 2 hours
Total lecture hours: 45 hours
Text Book(s)
1. C.A. Balanis, Antenna Theory: Analysis and Design, 2016, 4th edition, Wiley, India
2. C.A. Balanis, Modern Antenna Handbook, 2012, 1st Edition, Wiley, India
Reference Books
1. W.L. Stutzman and G.A. Thiele, Antenna Theory and design, 2012, 3rd Edition, Wiley, India
2. J. D. Kraus, Antennas and Wave propagation, 2012, 4th Edition, McGraw Hill, India.
3. Sanjay Kumar, Saurabh Shukla, Wave Propagation and Antenna Engineering, 2016, 1st Edition
PHI, India
M.TECH (MCE) Page 44
4. www.antenna-theory.com
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
List of Challenging Experiments (Indicative)
1. Finding the impedance of planar and non-planar antennas (Horn, micro strip,
parabolic dish etc.)
4 hours
2. Design and perform the electromagnetic simulation of dipole and monopole
antenna for wireless communication system.
4 hours
3. Characterization of non-planar and planar Ultra-Wideband antenna and
perform the electromagnetic simulation.
4 hours
4. Design and perform the electromagnetic simulation of planar inverted F-
antenna and calculate the SAR performance for mobile hand held devices.
5 hours
5. Design and development of micro strip patch antenna for WLAN and
Bluetooth applications.
4 hours
6. Antenna array design using Matlab
Taylor series method
Fourier Transform method
5 hours
7. Measurement of antenna radiation pattern and characterization of
polarization properties of antenna
4 hours
Total laboratory hours 30 hours
Mode of evaluation: Continuous Assessment & Final Assessment Test (FAT)
Recommended by Board of Studies 28-02-2016
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 45
Course Code Course Title L T P J C
ECE5013 Fiber Optic Communication and Networks 2 0 2 0 3
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To acquaint the basic concepts of active and passive devices and its application in fiber optic
networks.
2. To introduce the different types of optical amplifiers SOA, EDFA and RA with respect to
operation principle and its applications.
3. To familiarize the theory of non-linearity and optics of anisotropic media and about the nonlinear
effects like SRS, SBS, SPM, XPM, FWM and Solitons.
4. To introduce modulators like Electro optic and Acousto optic modulators used in optical
transmission
Course Outcomes:
1. Apply the active, passive devices and optical amplifiers in optical networks.
2. Understand how nonlinear effects like SRS, SBS, SPM, XPM, FWM and Solitons can be used
in optical fiber communications.
3. Explain the difference between modulators like Electro optic and Acousto optic modulators used
in optical transmitters.
4. Analyze the receiver sensitivity and receiver noise, BER and eye pattern.
5. Determine Power and Rise time budgets and understand the different topologies of optical
networks, WDM technology, CDMA and SCM.
6. Understand the SONET and Fiber to the home networks.
7. Design, analyze and evaluate fiber optical communication links
Student Learning Outcomes (SLO): 2,6,14
2. Having a clear understanding of the subject related concepts and of contemporary issues.
6. Having an ability to design a component or a product applying all the relevant standards and
with realistic constraints.
14. Having an ability to design and conduct experiments, as well as to analyze and interpret data
Module:1 Network Elements 4 hours
Optical and photonic device technology: Couplers, isolators, circulators, multiplexers and filters,
active and passive optical switches, optical cross connects, wavelength selective cross connects,
wavelength converters, filters: dielectric, AWG and fiber Bragg grating (FBG) devices, nonlinear
optical fibers
Module:2 Optical Amplifiers 2 hours
SOA, EDFA, Raman amplifier
M.TECH (MCE) Page 46
Module:3 Nonlinear Effects 4 hours
Phenomenological theory of nonlinearities, optics of anisotropic media, harmonic generation,
mixing and parametric effects, two-photon absorption, saturated absorption and nonlinear
refraction. Rayleigh, Brillouin and Raman scattering, self-focusing and self-phase-modulation,
cross phase modulation, four-wave mixing, solitons.
Module:4 Optical Modulators 2 hours
Electro-optic effect and acousto optic effects, EO and AO modulators.
Module:5 Detection and receiver design 4 hours
Receiver sensitivity, bit error rate, eye pattern, minimum received power, quantum limit of photo
detection. Receiver design: Front end, linear channel, decision circuit, integrated receivers. Noise
in detection circuit: shot noise, thermal noise, concept of carrier to noise analysis.
Module:6 Network Architectures, Topologies and Multi-Channel
Systems
6 hours
The end to end transmission path, loss and dispersion budgets in network designing, optical signal
flow and constraints, design of star, bus, mesh and ring topologies, multiplexing and multiple access
schemes: TWDM/MA, sub carriers, CDMA, capacity allocation for dedicated connections, demand
assigned connections.
Module:7 Optical Networks 6 hours
Optical networks architecture, SONET/SDH optical network, WDM optical networks, wavelength-
routed optical network, routing algorithms, network monitoring and management, fault and security
management, routing protocols, intelligent optical network (ION), FDDI, FTTH, business drivers
for next-generation optical networks.
Module:8 Contemporary issues 2 hours
Total lecture hours: 30 hours
Text Book(s)
1. Gerd Keiser, Optical Fiber Communications, 2013, 5th Edition, McGraw-Hill, India.
2. Cvijetic, M., Djordjevic. I. B., Advanced Optical Communication Systems and Networks,
2013, 1st Edition, Artech House, London.
M.TECH (MCE) Page 47
Reference Books
1. R. Ramaswami, K.N. Sivarajan, Morgan Kaufmann, Optical Networks A practical perspective,
2013, 2nd Edition, Pearson Education, India.
2. G. P Agrawal, Fiber Optic Communication Systems, 2012, 4th Edition, Wiley, India.
3. C. Siva Ram Murthy, Mohan Gurusamy, WDM optical networks concepts design and
algorithms, 2015, 1st Edition, Pearson Education, India.
4. G. P. Agrawal, Nonlinear Fiber Optics, 2012, 5th Edition, Academic Press, US.
5. John M Senior, Optical Fiber Communication – principle and practices, 2014, 3rd Edition, PHI,
India.
6. Ivan Kaminov, Tingye Li, Alan E.Wilner, Optical Fiber Telecommunications VI B Systems
and Networks, 2013, 6th Edition, Academic Press, India.
7. http://gogotraining.com/training/courses/20/fiber-optic-communications/
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
List of Challenging Experiments (Indicative)
1. Fiber non-linear effects – Four-wave mixing, Stimulated Brillouin Scattering 4 hours
2. Dense wavelength division multiplexing with RAMAN amplifier 3 hours
3. Ring network Topology with OADM 3 hours
4. Radio over fiber 4 hours
5. Free space optical communication link 4 hours
6. WDM Fiber optic link 4 hours
7. Power budgeting of an optical fiber link 4 hours
8. Rise time budgeting of an optical fiber link 4 hours
Total laboratory hours 30 hours
Mode of evaluation: Continuous Assessment & Final Assessment Test (FAT)
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 48
Programme Electives
Course Code Course Title L T P J C
ECE6010 High Performance Communication Networks 3 0 0 0 3
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To familiarize with OSI, TCP/IP reference model and various high speed networks.
2. To understand the protocols as well as design and performance issues associated with the
functioning of LANs and WLANs.
3. To introduce Quality of Service protocols and their importance in analysing network
performance.
Course Outcomes:
1. List and explain the functions of the OSI, TCP/IP reference models.
2. Understand and analyze the performance of various high speed networks.
3. Explain the importance of various congestion and traffic management techniques related to
packet switching networks
4. Understand and analyze the performance of link level protocols.
5. Analyze the behavior of TCP and UDP protocols over WLAN.
6. Understand the performance of queuing models and issues related to QoS protocols.
Student Learning Outcomes (SLO): 1, 2, 5
1. Having an ability to apply mathematics and science in engineering applications.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
5. Having design thinking capability.
Module:1 Network Services and Layered Architectures 8 hours
Networking principles, Applications, Traffic characterization, Network elements, Basic network
mechanisms, Open data network model, OSI, TCP, UDP and IP Models, Network architectures,
Network bottlenecks.
Module:2 High Speed Networks 8 hours
Packet switching networks, Frame relay networks, ATM, High speed LAN, Ethernet, WLAN,
DWDM, OBS, OPS.
Module:3 Congestion and Traffic Management 6 hours
M.TECH (MCE) Page 49
Congestion control in data networks, Effects of congestion, Traffic management, Congestion
control in packet switching networks
Module:4 Link level Flow, Error and Traffic Control 7 hours
Need for flow and error control, Link control mechanisms, ARQ performance, TCP flow and
congestion control.
Module:5 UDP-TCP/IP Protocol Stack over WLAN Network 6 hours
UDP behaviour over WLAN, Effect of access based on RTS/CTS, Behaviour of TCP over WLAN,
Influence of errors in UDP and TCP.
Module:6 Integrated and Differentiated Services 4 hours
Integrated Services Architecture (ISA), Queuing discipline, Random early detection, Differentiated
services.
Module:7 Quality of Service Protocols 4 hours
Protocol for QoS support, Resource reservation: RSVP, MPLS, Real Time Transport Protocol, Self-
Configuring techniques, Multichannel protocols.
Module:8 Contemporary issues 2 hours
Total lecture hours: 45 hours
Text Book(s)
1. William Stallings, High-speed Networks and Internets, 2012, 2nd Edition, Pearson Education,
United Kingdom.
2. Jean Warland, Pravin Varaiya, High Performance Communication Networks, 2011, 2nd Edition,
Harcourt and Morgan Kauffman Publishers, London.
Reference Books
1. Leon Gracia, Widjaja, Communication Networks, 2011, 1st Edition, McGraw Hill, New York,
USA.
2. Ramjee Prasad, Luis Munoz, WLANs and WPANs Towards 4G Wireless, 2013, 1st Edition,
Artech House, London.
M.TECH (MCE) Page 50
3. http://www.2.ensc.sfu.ca\~ljilja\ensc835\fall03\
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Recommended by Board of Studies 28-02-2016
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 51
Course Code Course Title L T P J C
ECE6011 Mobile Adhoc Networks 3 0 0 0 3
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To acquaint the fundamental of adhoc wireless networks and cellular networks.
2. To design contention-based MAC protocols and routing protocols for adhoc networks.
3. To recognize the QoS frameworks, network security issues, energy management and paraphrase
the mobile adhoc network towards WSN, VANET, WPAN.
Course Outcomes:
1. Comprehend and analyze the deployment consideration and issues in adhoc network.
2. Classify the contention-based MAC protocols based on reservation and scheduling mechanism.
3. Compute the routing table for unicast routing protocols.
4. Comprehend and analyze the multicast routing protocols.
5. Recognize the quality of service solutions, security issue and energy management in adhoc
networks.
6. Comprehend and analyze the architecture and data processing of wireless sensor network.
Student Learning Outcomes (SLO): 2, 5, 11
2. Having a clear understanding of the subject related concepts and of contemporary issues.
5. Having design thinking capability.
11. Having interest in lifelong learning.
Module:1 Introduction 6 hours
Introduction to Cellular and Ad hoc wireless networks, Applications of ad hoc networks,
Issues in ad hoc wireless networks, Medium access scheme, Routing, Multicasting, Transport layer
protocols, Pricing scheme, Quality of Service provisioning, Self-organization, Security, Address and
security discovery, Energy management, Scalability, Deployment considerations, Ad hoc wireless
Internet
Module:2 MAC Protocols 8 hours
Issues in designing a MAC Protocol for ad hoc wireless networks, design goals of a MAC Protocol
for Ad Hoc Wireless Networks, Classification of MAC Protocols, Contention based Protocols,
Contention based Protocols with Reservation mechanism, Contention Based MAC Protocols with
Scheduling Mechanisms, Other MAC protocols
Module:3 Routing Protocols 8 hours
M.TECH (MCE) Page 52
Design issues and classification, Table-driven, On-demand and Hybrid routing protocols, Routing
protocols with efficient flooding mechanisms, Hierarchical and Power-aware routing protocol
Module:4 Multicast Routing Protocols 8 hours
Design issues and operation, Architecture reference model, Classification, Tree-based and Mesh-
based protocols, Energy-Efficient multicasting, Multicasting with Quality of Service guarantee,
Application dependent multicast routing
Module:5 Quality of Service and Security Issues 4 hours
Issues and challenges in providing QoS, Classification of QoS solutions, MAC layer solutions,
Network layer solutions, QoS frameworks, Network security issues
Module:6 Energy Management 4 hours
Need, Classification of battery management schemes, Transmission power management schemes,
System power management schemes.
Module:7 Wireless Sensor Networks 5 hours
Wireless Sensor Networks: Architecture, Data dissemination, Data gathering, MAC Protocols,
Location discovery, Quality of a sensor network, Issues and current trends in MANETs, VANETs,
WSN, 6LoWPAN
Module:8 Contemporary issues 2 hours
Total lecture hours: 45 hours
Text Book(s)
1. C. Siva Ram Murthy, B. S. Manoj, Ad-Hoc Wireless Networks: Architectures and Protocols,
2012, 1st Edition, Prentice Hall, New Jersey.
Reference Books
1. C-K. Toh, AdHoc Mobile Wireless Networks: Protocols and Systems, 2011, 1st Edition, Prentice
Hall, New Jersey.
2. Mohammad Ilyas, The Handbook of AdHoc Wireless Networks, 2012, 1st Edition, CRC press,
Florida.
M.TECH (MCE) Page 53
3. Minoru Etoh, Next Generation Mobile Systems 3G and Beyond, 2011, 1st Edition, Wiley
Publications, New Jersey.
4. Savo Glisic, Advanced Wireless Communications 4G Technologies, 2013, 1st Edition, Wiley
Publications, New Jersey.
5. http://www.ece.rochester.edu/courses/ECE586/index.htm
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final Assessment
Test (FAT)
Recommended by Board of Studies 28-02-2016
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 54
Course Code Course Title L T P J C
ECE6012 Modern Wireless Communication Systems 3 0 0 4 4
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To introduce the fundamentals and limitations of wireless channels imposed on communication
systems.
2. To understand the principles and importance of spread spectrum and multicarrier
communication in the context of wireless communication.
3. To identify the role of diversity and MIMO techniques in combating the effect of fading and
maximizing the capacity.
4. To cognize the most recent trends in the broad area of wireless communication.
Course Outcomes:
1. Describe the effect of large scale fading on signal transmission
2. Characterize and model the wireless channel in terms of small scale fading parameters
3. Design and implement diversity coding techniques to overcome the effect of fading
4. Apply the theory of probability and random processes in the design of baseband CDMA system
5. Design the transmitter and receiver blocks of OFDM for better transmission through multipath
channel
6. Design and solve specific problems in advanced technologies like massive MIMO, HetNet,
millimeter wave communication and standards like LTE, LTE-A etc.
7. Design spatial multiplexing schemes and low-complexity receivers to maximize the spectral
efficiency
Student Learning Outcomes (SLO): 1, 2, 6
1. Having an ability to apply mathematics and science in engineering applications.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
6. Having ability to design a component or a product applying all the relevant standards and with
realistic constraints.
Module:1 Large-Scale Path Loss 6 hours
Propagation of EM signals in wireless channel, Reflection, Diffraction and scattering, Free space
propagation model, Two ray ground reflection model, Log-distance path loss model, Log-normal
shadowing, Outdoor propagation models, Longley-Rice model, Okumura model, Hata model,
COST-231, Link power budget analysis.
Module:2 Small-Scale Fading and Multipath 4 hours
Parameters of mobile multipath channels, Types of small scale fading, Rayleigh and Rician
distributions, Jakes Doppler spectrum.
M.TECH (MCE) Page 55
Module:3 Diversity Techniques 5 hours
Condition for deep fading, Probability of error analysis under fading channel, Time diversity,
Repetition codes, Frequency diversity, Spatial diversity techniques, Analysis of BER of multi
antenna system, Diversity order.
Module:4 Spread Spectrum Techniques 6 hours
Introduction to spread spectrum, Orthogonal spreading codes, Benefits of spreading (Jamming
Margin, Graceful degradation, Universal frequency reuse, Multipath diversity), Multi user CDMA,
Performance analysis of CDMA downlink with multiple users, Performance analysis of CDMA
uplink with multiple users, Asynchronous CDMA, Near far problem, Power control, CDMA
receiver synchronization, Introduction to MC-CDMA.
Module:5 OFDM 8 hours
Introduction to multicarrier modulation, Importance of cyclic prefix, Adaptive modulation and
coding techniques. OFDM issues, PAPR, Frequency and timing offset, ICI mitigation techniques,
Introduction to SC-FDMA-PAPR analysis with localized and interleaved schemes.
Module:6 Physical Layer Aspects of LTE and LTE-A 5 hours
Requirements and targets of LTE, Introduction to downlink physical layer design, Transmission
resource structure, Synchronization and cell search, Reference signals and channel estimation, Cell
specific reference signal generation, UE specific reference signal generation, Downlink physical
data and control channels, Link adaptation, Introduction to uplink physical layer design, Carrier
aggregation, HARQ, Relaying strategies and benefits.
Module:7 MIMO and Recent Trends 9 hours
Spatial multiplexing, Decomposition of MIMO channel, Pre-coding, Optimal MIMO power
allocation, MIMO beamforming, Nonlinear MIMO receivers-V-BLAST, D-BLAST, Requirements
of 5G, Drawbacks of OFDM, Introduction to Filter Bank Multicarrier System (FBMC), Massive
MIMO, Millimeter wave technology, Dense network, Cognitive radio technology, Smart antennas,
Multi-hop relay networks.
Module:8 Contemporary issues 2 hours
M.TECH (MCE) Page 56
Total lecture hours: 45 hours
Text Book(s)
1. Aditya K. Jagannatham, Principles of Modern Wireless Communications Systems, 2015, 1st
Edition, McGraw-Hill Education, India.
Reference Books
1. Simon Haykin, Michael Moher, Modern Wireless Communications, 2011, 1st Edition, Pearson
Education, India.
2. http://nptel.ac.in/courses/117104099/
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Typical Projects:
1. Implementation of Jakes Rayleigh fading channel model
2. Consider the following extended vehicular: a channel power delay profile. Write a code to
model the given profile. Also, measure the channel capacity. Compare the obtained capacity
to that without fading channel.
Delay (ns) Power (dB)
0 0
30 -1.5
150 -1.4
310 -3.6
370 -0.6
710 -9.1
1090 -7
1730 -12
2510 -16.9
3. Probability of error analysis for higher order modulation schemes under fading channel
4. Inter Carrier Interference (ICI) mitigation in OFDM system
5. Study and analysis of peak to average power ratio (PAPR) reduction schemes in OFDM
system
6. Study and analysis of peak to average power ratio (PAPR) using SC-FDMA
7. Channel estimation schemes for OFDM system
8. Study and analysis of beamforming schemes for MIMO system
9. Study and analysis of diversity schemes for MIMO system
10. Implementation of SFBC-OFDM
11. Implementation of antenna selection schemes for MIMO system
12. Study and analysis of channel estimation schemes for MIMO system
M.TECH (MCE) Page 57
13. Design of filters for filter bank multicarrier system
14. Estimation of angle of arrivals in MIMO system
15. Implementation of small cell placement schemes for dense network
16. Implementation of path selection algorithms for multi-hop relay networks
17. Implementation of Maximum likelihood true parameter estimator for wireless sensor
networks
18. Implementation spectrum sensing algorithms for cognitive radio
19. Implementation of spectrum handoff algorithms for cognitive radio
20. Study and analysis of CFO estimation algorithms for OFDM systems
Mode of evaluation: Review I, II and III.
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 58
Course Code Course Title L T P J C
ECE6013 Modeling of Wireless Communication Systems 3 0 2 0 4
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To understand the necessity of modeling and simulation approach.
2. To provide an introduction to different error sources, impairments and performance metrics.
3. To determine the type and appropriate model of wireless fading channel based on the system
parameters and the property of the wireless medium.
4. To understand different queuing models for communication and networking applications.
Course Outcome:
1. Apply simulation approach to evaluate the performance of a communication system
2. Apply the theory of random processes in modelling the wireless communication system
3. Estimate the bit error rate using Monte Carlo simulations and validate the simulations using
bounds and approximations
4. Evaluate the performance of communication system in terms of performance metrics like bit
error rate, outage probability etc.
5. Model multipath fading channels that are used in the performance analysis of wireless standards
like GSM, WCDMA, LTE, Wi-Fi, WiMAX etc.
6. Apply queueing models to design cellular network with given quality of service constraints
7. Design as well as conduct experiments, analyze and interpret the results to provide valid
conclusions for wireless communication using MATLAB tool.
Student Learning Outcomes (SLO): 1, 2, 17
1. Having an ability to design a component or a product applying all the relevant standards and
with realistic constraints.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
17. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice.
Module:1 Introduction to simulation approach 4 hours
Simulation approach, Advantages and limitations, Methods of performance evaluation, Error
sources in simulation, Role of simulation in communication systems.
Module:2 Fundamentals of Random Variables and Random Processes for
Simulation
6 hours
Introduction to random variables (continuous and discrete), Univariate and Bivariate models,
Transformation of random variables, Moments, Central moments, Characteristic function, Moment
M.TECH (MCE) Page 59
generating function, Stationarity, Wide sense stationary, Ergodicity, auto correlation, Power
spectral density, Cross correlation, Sampling of stationary random processes.
Module:3 Bounds and approximations 3 hours
Chebyshev’s inequality, Chernoff bound, Union bound, Central limit theorem, Approximate
computation of expected values.
Module:4 Monte Carlo simulations 6 hours
Variations of Monte Carlo Simulation, Random number generation, Generating independent
random sequences, Generation of correlated random sequences, Testing of random number
generators.
Module:5 System Modeling 8 hours
Modeling the information sources, Source coding, Channel coding, Baseband modulation,
Multiplexing, Multiple access, Band pass modulation, Detection, Equalization, Carrier and timing
recovery for BPSK and QPSK, Performance analysis of communication system under noisy channel
conditions.
Module:6 Channel Modeling 8 hours
Large scale fading models, Small scale fading models, Types of fading, Parameters characterizing
fading, Rayleigh fading, Jakes model, Clarke’s model, Path loss models for LTE and Wi-Max
networks, Performance analysis of communication systems under fading channel, Performance
analysis of communication systems with MIMO.
Module:7 Queuing Modeling 8 hours
Markovian models, Basic queuing models, M/G/1 queuing system, Pollaczek-Khinchine formula,
Network of queues, Fundamentals of teletraffic theory, blocked call cleared system, blocked call
delayed system, Queuing theory for teletraffic modeling.
Module:8 Contemporary issues 2 hours
Total lecture hours: 45 hours
Text Book(s)
M.TECH (MCE) Page 60
1. William H. Tranter, K. Sam Shanmugan, T. S Rappaport, Kurt L. Kosbar, Principles of
Communication System Simulation with Wireless Applications, 2011, 1st Edition, Prentice
Hall Press, USA.
2. M. N. Sadiku, S. M. Musa, Performance Analysis of Computer Networks, 2013, 1st Edition,
Springer, Switzerland.
Reference Books
1. John G. Proakis, Masoud Salehi, Gerhard Bauch, Contemporary Communication Systems
using MATLAB, 2013, 3rd Edition, Nelson Engineering, Canada.
2. http://web.stanford.edu/class/ee359/lectures.html
3. http://www.cse.wustl.edu/~jain/cse567-15/index.html
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
List of Challenging Experiments (Indicative)
1. Computation of Probability Mass (Density) Function (PMF or PDF)
Generate 1000 sample points of real numbers uniformly distributed between
‘0’ and ‘1’.
(a) Let X be Random Variable (RV) taking values ‘0’ &’1’. X=0
corresponds to the sample points whose values are less than 0.5. X=1
corresponds to the sample points whose values are between 0.5 and 1.
Draw the probability mass function of the RV, X.
(b) Repeat part (i) for RV ‘Y’ taking values 0, 1&2.
0: sample values between 0 & 1/3
1: sample values between 1/3 & 2/3
2: sample values between 2/3 & 1.
2 hours
2. Computation of PDF and Cumulative Distribution Function (CDF)
(a) Draw the graph for the binomial density function for N=6 and p=0.4.
Also, compute and show it by graph, the binomial CDF.
(b) The pdf of the Gaussian RV is given as
2x
2X
1f (x) e , x
2
. Draw
Xf (x) 3 x 3 for ‘x’ in steps of 0.05. Develop and draw the CDF of
the above function.
2 hours
3. Generation of Histogram of Uniform RV
(a) Generate 1000 sample points of real numbers uniformly distributed
between 0 & 1. Compute the Histogram of the above sample points
(Take 10 uniform steps between 0 & 1). Redraw the histogram when the
sample points are increased to 2000. Also observe it when the steps are
increased from 10 to 20. Compare your results with built in Matlab
function.
2 hours
M.TECH (MCE) Page 61
(b) Generate 1000 samples of a uniform RV taking values between 0 & 2
. Generate the new RV,. Plot the pdf of Y. Compare this with the
theoretical result.
4. Generation of Histogram of Gaussian RV
(a) Redo the steps given in 3 (i) with Matlab function ‘rand’ replaced by
‘randn’.
(b) Write a Matlab script to compute the mean, mean square, variance and
standard deviation for the RVs given in the tasks 4 & 5 and display them
on the command prompt. Compare your results with the built in
functions.
4 hours
5. Transformation of Uniform pdf to exponential and Rayleigh pdfs
(a) Generate 1000 sample points of uniform pdf. Use appropriate
transformation to convert uniform pdf to
(i). exponential pdf
(ii). Rayleigh pdf
(iii). Draw their corresponding pdf curves.
(b) Generate 1000 samples of a ‘Gaussian’ random variable X. Use the
transformation Y=X2. Draw the pdf of Y and compare it with theoretical
results.
(c) Consider the following:
(i). Generate 1000 samples for two independent Gaussian random
variables, X and Y with 0 and 2 1 . Generate new random
variables, 2 2Z X Y and 1 YTan
X
. Draw their pdfs and
compare with the theoretical results.
(ii). Now add a constant value of 5 to the samples of R.V., X and solve
the above problem again.
4 hours
6. Baseband Transmission and Reception schemes:
(a) Spectral analysis of various line coding techniques
(b) Implementation of matched filter receiver
(c) Pulse shaping with Raised cosine and square root raised cosine filters
(d) Implementation of LMS adaptive equalizer for ISI mitigation
6 hours
7. Band-pass Transmission and Reception schemes:
(a) BER, capacity and outage analysis of different modulation schemes
(theoretical and simulated)
(b) Maximum likelihood detector design for higher order modulation
schemes
4 hours
8. Error correction coding:
(a) Coding gain comparison between different codes
(b) Time diversity with repetition codes
(c) Turbo encoder design
3 hours
9. Multiple Access schemes:
(a) OFDMA Transceiver chain
(b) SC-FDMA Transceiver chain
3 hours
M.TECH (MCE) Page 62
Total laboratory hours 30 hours
Mode of evaluation: Mode of evaluation: Continuous Assessment & Final Assessment Test
(FAT)
Recommended by Board of Studies 28-02-2016
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 63
Course Code Course Title L T P J C
ECE6014 Modern Satellite Communication 3 0 0 0 3
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To exemplify in depth knowledge of Satellite communication system.
2. To have a detailed understanding of the critical RF parameters in satellite transceiver and their
effects on performance.
3. To have a detailed understanding of the fundamental theory and concepts of the Global
Positioning and inertial navigation System.
Course Outcomes:
1. Design the orbital and functional metrics of satellite communication systems.
2. Design the link budget for satellite services and analyze various parameters of transmitted and
received signals through satellite.
3. Analyze user position using GPS pseudo-range data and error sources for GPS position
calculations.
4. Analyze strap down inertial navigation systems including coordinate frames, attitude
representation, and mechanization in various coordinate frame.
5. Develop a location based service using external data sources and services, web mapping and
aspects of mobile technology.
6. Analyze the estimation techniques for integration of remote sensing sensors in an optimal
navigation system.
Student Learning Outcomes (SLO): 1, 2, 5
1. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
5. Having design thinking capability.
Module:1 Introduction to Satellite Communication 7 hours
Overview of satellite communications, Types of satellites, Kepler’s three laws of planetary motion,
Orbital elements, Look angle determination, Orbital pert
Module:2 Launch and Satellite Systems 6 hours
Launch vehicles, Launching techniques, Orbital effects in satellite communication systems
performance, Satellite subsystems, Satellite constellations
M.TECH (MCE) Page 64
Module:3 Global Navigation Satellite System 7 hours
Global Navigation Satellite Systems, Basic concepts of GPS, Space segment, Control segment, user
segment, GPS constellation, GPS measurement characteristics, Selective availability, Anti spoofing
(AS). Applications of satellite and GPS for 3D position, Velocity, determination as function of time,
Regional navigation systems
Module:4 Inertial Navigation 7 hours
Introduction to Inertial Navigation, Inertial sensors, Navigation coordinates, System
implementations, System, Level error models, introduction to Differential GPS, LADGPS,
WADGPS, WAAS, GEO Uplink Subsystem (GUS), Clock steering algorithms, GEO orbit
determination
Module:5 Location Applications 2 hours
Distress and safety, Cospas, Sarsat, Inmarsat distress system, Location-based service, Problems
Module:6 Sensors, Remote Sensing Systems and Techniques 8 hours
Overview of sensors, Optical sensors: cameras, Non-Optical sensor, Image processing, Image
interpretation, System characteristics.
Introduction to remote sensing systems, Commercial imaging, Digital globe, GeoEye,
Meteorology, Meteosat, Land observation, Landsat, Remote sensing data
Module:7 Broadcast Systems 6 hours
Introduction, Satellite radio systems, XM satellite radio inc., Sirius satellite radio, World space,
Direct multimedia broadcast, MBCO and TU multimedia, European initiatives, Direct To Home
(DTH) television, Implementation issues, DTH Services, representative DTH Systems, Military
multimedia broadcasts, US Global Broadcast Service (GBS), Business TV(BTV), GRAMSAT,
Specialized services, Email, Video conferencing, Internet.
Module:8 Contemporary issues 2 hours
Total lecture hours: 45 hours
Text Book(s)
1. Mohinder S. Grewal, Lawrence R. Weill, Angus P. Andrews, Global Positioning Systems,
Inertial Navigation, and Integration, 2011, 1st Edition, John Wiley & Sons, New Jersey.
M.TECH (MCE) Page 65
2. T. Pratt, C.W. Boastian, Jeremy Allnutt, Satellite Communication, 2013, 2nd Edition, John
Wiley & Sons, New Jersey.
Reference Books
1. Madhavendra Richaria, Mobile Satellite Communications: Principles and Trends, 2014, 2nd
Edition, John Wiley & Sons, New Jersey.
2. D. Roddy, Satellite Communications, 2011, 4th Edition, McGraw Hill, New York.
3. W.L. Pritchard, H.G Suyderhoud, Satellite Communication Systems Engineering, 2011, 2nd
Edition, Pearson Education, United Kingdom.
4. Tri T. Ha, Digital Satellite Communications, 2011, 2nd Edition, McGraw Hill, New York.
5. http://www.satcom.co.uk/
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 66
Course Code Course Title L T P J C
ECE6015 Coding for MIMO Communication 3 0 0 0 3
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To understand the importance of MIMO for next generation networks.
2. To identify the role of different diversity formats and spatial multiplexing in combating the
effect of fading and maximizing transmission capacity.
3. To provide an introduction to advanced MIMO concepts like multi-user MIMO, massive MIMO
and SM-MIMO for next generation communication.
Course Outcomes:
1. Characterize and model the MIMO wireless channel
2. Design and implement diversity coding techniques to overcome the effect of fading
3. Design optimal power allocation algorithms to maximize the system capacity
4. Assemble different forms of diversity to improve the error performance
5. Design low-complexity, linear and non-linear receivers
6. Evaluate the performance of concatenated codes for MIMO communication
Student Learning Outcomes (SLO): 2, 9, 12
2. Having a clear understanding of the subject related concepts and of contemporary issues.
9. Having problem solving ability- solving social issues and engineering problems.
12. Having adaptive thinking and adaptability.
Module:1 Introduction to MIMO and Wireless Channel 6 hours
Introduction, Multi antenna systems, Array gain, Diversity gain, Data pipes, Spatial multiplexing,
Wireless channel, MIMO system model.
Module:2 Diversity Techniques 6 hours
Diversity, Types, Selection diversity, Scanning diversity, Maximum ratio combining, Equal gain
combining, Calculation of SNR.
Module:3 Capacity of MIMO Channel 6 hours
MIMO system capacity, Channel unknown to the transmitter, Channel known to the transmitter,
Water pouring principle, Capacity when channel is known to the transmitter, Deterministic
channels.
M.TECH (MCE) Page 67
Module:4 Space Time Block Coding 6 hours
Transmit diversity with two antennas: Alamouti scheme, STBC for real signal constellation, STBC
for complex signal constellation, Decoding of STBC-OSTBC, Capacity of OSTBC.
Module:5 Space Time Trellis Codes 7 hours
Space Time Coded system, Design of space time trellis coded on slow fading channel, Error
probability of slow fading channel, Design of space time trellis codes on fast fading channels, Error
probability of fast fading channels, Comparison of STBC and STTC.
Module:6 Layered Space Time Codes 6 hours
LST transmitters: Types of encoding, Horizontal encoding, Vertical encoding, Diagonal encoding,
Layered Space-Time coding design criteria, Performance analysis of HLST, VLST and DLST
systems, Code design criteria, Receivers for LST systems, Iterative receivers.
Module:7 Concatenated Codes and Iterative Decoding 6 hours
Development of concatenated codes, Concatenated codes for AWGN and MIMO channels, Turbo
coded modulation for MIMO channels, Concatenated space-time block coding.
Module:8 Contemporary issues: 2 hours
Total lecture hours: 45 hours
Text Book(s)
1. Aditya K. Jagannatham, Principles of Modern Wireless Communications Systems, 2015, 1st
Edition, McGraw-Hill Education, India.
Reference Books
1. A. B. Gershman, N. D. Sidiropoulus, Space-time Processing for MIMO Communications,
2011, 1st Edition, Wiley, NJ, USA.
2. A. Paulraj, R. Nabar, D Gore, Introduction to Space-Time Wireless Communications, 2013, 1st
Edition, Cambridge University Press, UK.
3. Tolga M. Duman, Ali Ghrayed, Coding for MIMO Communication Systems, 2012, 1st Edition,
John Wiley & Sons, West Sussex, England.
4. http://nptel.ac.in/syllabus/syllabus.php?subjectId=117104118
M.TECH (MCE) Page 68
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Recommended by Board of Studies 28-02-2016
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 69
Course Code Course Title L T P J C
ECE6016 Advanced Wireless Sensor Networks 2 0 2 0 3
Pre-requisite Nil
Syllabus
version
Syllabus version
Course Objectives:
1. To gain knowledge in physical, MAC and routing layers of WSN (Wireless Sensor Networks).
2. To learn WSN standards.
3. To analyze the performance of WSN
Course Outcomes:
1. Understand the Architectures of WSNs.
2. Design Physical and MAC Layers.
3. Design Network layer in WSN.
4. Understand Clustering in WSN.
5. Interpret WSN Standards.
6. Design Localization process in WSN.
7. Understand and write code for Operating Systems in WSN.
Student Learning Outcomes (SLO): 2, 6, 17
2. Having a clear understanding of the subject related concepts and of contemporary issues.
6. Having an ability to design a component or a product applying all the relevant standards and
with realistic constraints.
17. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice.
Module:1 Architectures of WSNs 3 hours
Challenges and enabling technologies for Wireless Sensor Networks, Single-Node architecture,
Hardware components, Energy consumption of sensor node, Sensor network scenarios
Module:2 Physical and MAC Layers 5 hours
Physical layer and transceiver design considerations in WSNs, MAC Protocols for WSNs:
Schedule-based protocols, Random Access-based protocols, Sensor-MAC: Periodic listen and sleep
operations, Schedule selection and coordination, Schedule synchronization, Adaptive listening,
Access control and data exchange, Message passing.
M.TECH (MCE) Page 70
Module:3 Network layer in WSN 4 hours
Challenges for routing, Data centric and flat architecture
Module:4 Clustering in WSN 4 hours
Hierarchical protocols, Geographical routing, QoS based protocols
Module:5 WSN Standards 4 hours
802.15.4 - PHY and MAC, Zigbee, 6LoWPAN
Module:6 Localization in WSN 4 hours
Challenges in localization, Ranging techniques, Range-based localization, Range-free localization.
Module:7 Operating Systems in WSN 4 hours
Introduction, WSN - operating system design issues, Examples of OS, TinyOS.
Module:8 Contemporary issues 2 hours
Total lecture hours: 30 hours
Text Book(s)
1. Holger Karl, Andreas Wiilig, Protocols and Architectures for Wireless Sensor Networks, 2011,
1st Edition, John Wiley & Sons, New Jersey.
2. Kazem Sohraby, Daniel Minoli, Taieb Znati, Wireless Sensor Networks-Technology,
Protocols, and Applications, 2012, 1st Edition, John Wiley & Sons, New Jersey.
Reference Books
1. Ian F. Akyildiz, Mehmet Can Vuran, Wireless Sensor Networks, 2011, 1st Edition, John Wiley
& Sons, New Jersey.
2. Anna Hac, Wireless Sensor Network Designs, 2013, 1st Edition, John Wiley & Sons, New
Jersey.
3. http://ebooks.cambridge.org/ebook.jsf?bid=CBO9781139030960
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
M.TECH (MCE) Page 71
List of Challenging Experiments (Indicative)
1. Design of wireless sensor node and the components of a WSN. 2 hours
2. Design of WSN for transmission and reception of data using two or more
sensors.
2 hours
3. Understand the role of a transceiver and analyze the effect of transmission
range and antenna power level on the residual energy of a sensor node.
3 hours
4. Design of range based localization techniques. 3 hours
5. Design and demonstrate the role of duty cycle (sleep/wakeup) in
determining the power consumption of a sensor node.
3 hours
6. Analyze the effect of variable sensing rates and data transmission rate on
the power consumption of a sensor node.
3 hours
7. Performance analysis of CSMA/ CA (slotted, Un-slotted) MAC protocol. 3 hours
8. Investigate the use of various real world sensors (Temperature, Humidity,
light intensity, rain gauge etc.) and demonstrate the data acquisition from
a sensor.
3 hours
9. Design and analyze WSN algorithms for clustering of sensor nodes. Also,
evaluate static clustering technique with respect to WSN life time and
throughput.
4 hours
10. Design and demonstrate the role of Gateways in inter cluster/cluster to
sink data transmissions. Design and analyze the performance of any two
routing techniques prescribed for WSN architecture (Energy aware
routing- Location based routing: GF, GAF, GEAR, GPSR, Attribute
based routing–Directed diffusion, Rumor routing, Geographic hash
tables)
4 hours
Total laboratory hours 30 hours
Mode of evaluation: Continuous Assessment & Final Assessment Test (FAT).
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
Course Code Course Title L T P J C
ECE6017 RF and Microwave Circuit Design 2 0 2 4 4
Pre-requisite Nil Syllabus version
1.0
M.TECH (MCE) Page 72
Course Objectives:
1. To have the essential knowledge of high frequency parameters.
2. To familiarize the student with concept of high frequency network analysis and design.
3. To have the ability to design microwave passive and active networks.
4. To get acquitted with emerging trends in microwave IC design concepts.
Course Outcomes:
1. Explain the active & passive microwave devices & components used in Microwave
communication systems.
2. Analyze microwave networks with S-parameters.
3. Design power dividers and low pass filters.
4. Analyze the multi- port RF networks, RF transistor amplifiers and stability.
5. Generate Microwave signals and design microwave amplifiers.
6. Understand the concepts of Microwave Resonators, Oscillators and Mixers.
7. Able to implement applications of microwave circuits through soft-ware and hard-ware
platforms.
8. Able to understand the IEEE standards, research papers, replicate and extend those results.
Student Learning Outcomes (SLO): 2, 5, 14
2. Having a clear understanding of the subject related concepts and of contemporary issues.
5. Having design thinking capability.
14. Having an ability to design and conduct experiments, as well as to analyze and interpret data
Module:1 Microwave Fundamentals 4 hours
Microwave frequencies (IEEE Standards), Smith Chart: Basic impedance & admittance chart,
calculation of VSWR, Reflection coefficient, design of impedance matching circuits using lumped
elements and distributed elements.
Module:2 Microwave Network Analysis 4 hours
Scattering parameters, S-matrix and properties, S-matrix analysis of two port network with overall
input and output reflection coefficients and Signal flow graph. Scattering parameter analysis of 2-
port, 3-port and 4-port devices.
Module:3 Microwave Low Pass Filter Design 3 hours
Low Pass Filter design (Butterworth and Chebyshev) - Insertion loss method: Richard’s
Transformation, Kuroda’s identities, Stepped impedance low pass filter.
Module:4 Microwave Transistors and Stability 4 hours
M.TECH (MCE) Page 73
Characteristics of microwave transistors, various types of two port power gains, tests for
unconditional stability of an amplifier, stability circles.
Module:5 Microwave Amplifier Design 5 hours
Single stage amplifier design for maximum gain and specific gain, design of low noise amplifiers,
characteristics of power amplifiers.
Module:6 Microwave Resonators 3 hours
Transmission line resonators, Waveguide resonators and Dielectric resonators
Module:7 Microwave Oscillators and Mixers 5 hours
Oscillators: Condition for oscillations in a one port network oscillator and two port network
oscillators and oscillator phase noise.
Mixer: Characteristics of mixer, image frequency, single ended diode mixer, single ended FET
mixer.
Module:8 Contemporary issues 2 hours
Total lecture hours: 30 hours
Text Book(s)
1. D. M. Pozar, Microwave engineering, 2012, 4th Edition, John Wiley, India.
2. G. Gonzalez, Microwave Transistor Amplifiers Analysis and Design, 2012, 2nd Edition,
Prentice Hall, India
Reference Books
1. Reinhold Ludwig, Pavel Bretchko, RF Circuit Design: Theory and Applications, 2014, 1st
Edition, Prentice Hall, India.
2. http://www.microwaves101.com/
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
List of Challenging Experiments (Indicative)
M.TECH (MCE) Page 74
1. Analysis and Design Equal and Unequal Wilkiason Power division using
Electromagnetic Simulation for L and S- Band Applications.
4 hours
2. Development of Wideband Phase Shifter for L and S band Applications. 3 hours
3. Design and Development of Microwave Filters.
(a) Low Pass Filter
(b) Band Pass Filter
(c) High Pass Filter
5 hours
4. Design and Development of Microwave Coupler.
(a) Branch line Coupler (90o hybrid coupler)
(b) Rat Race Coupler (180o hybrid coupler)
5 hours
5. Design and Development of Microwave Resonators.
(a) Half wavelength
(b) Quarter Wavelength
5 hours
6. Design and Perform the Electromagnetic Simulation of High Pass Filter Using
Steeped impedance and Richard Transform Method.
4 hours
7. Design and Analysis of Narrow band Microwave Amplifier for L and S Band
applications using Specific Gain and Maximum Gain Method.
4 hours
Total Laboratory Hours 30 hours
Mode of evaluation: Continuous Assessment & Final Assessment Test (FAT).
Typical Projects:
1. Design & EM simulation of Wilkinson 2-way power divider
2. Design & EM simulation of Wilkinson 4-way power divider.
3. Design & EM simulation of branch line coupler.
4. Design & EM simulation of rat race coupler.
5. Design & EM simulation of quarter wave length microstrip resonators.
6. Design & EM simulation of half wave length microstrip resonators.
7. Design & EM simulation of high pass filter using insertion loss method.
8. Design and analysis of miniaturization techniques for power dividers.
9. Design and analysis of miniaturization techniques for low pass filters.
Mode of evaluation: Review I, II and III.
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 75
Course Code Course Title L T P J C
ECE6018 Microwave Integrated Circuits 3 0 0 0 3
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To have the essential knowledge of various planar microstrip circuits.
2. To design and analyse various types of microwave planar circuits.
3. To acquaint the fabrication techniques and tolerances for MIC circuits.
Course Outcomes:
1. Comprehend the importance of various microstrip lines and the losses due to various microstrip
discontinuities.
2. Understand the design of lumped elements for microwave circuits.
3. Design and analyze various microstrip resonators.
4. Design and analyze microstrip power dividers and couplers.
5. Design and analyze band pass filters.
6. Appreciate and evaluate the performance of various fabrication techniques for planar circuits.
Student Learning Outcomes (SLO): 2, 5, 9
2. Having a clear understanding of the subject related concepts and of contemporary issues.
5. Having design thinking capability.
9. Having problem solving ability- solving social issues and engineering problems
Module:1 Planar Transmissions Lines 6 hours
Introduction, types of MICs and their technology, types of planar transmission lines, introduction to
coupled microstrip lines, slot lines and co-planar waveguides.
Module:2 Microstrip Lines 6 hours
Fields of propagation in microstrip lines, design equations of microstrip lines (characteristic
impedance and W/H relation), losses in microstrip lines, discontinuities in microstrip lines.
Module:3 Lumped elements for MICs 6 hours
Lumped microstrip components: Design of microstrip and chip inductors, capacitors, resistors.
Quasi lumped microstrip elements: Open and short circuited stubs (quarter wavelength, half
wavelength)
M.TECH (MCE) Page 76
Module:4 Microstrip Resonators 7 hours
Microwave resonators: Quarter & Half wave length resonators, Ring resonators: types, advantages
and applications, Patch resonators.
Module:5 Microstrip Power Dividers 7 hours
Even and Odd mode analysis of equal &unequal Wilkinson Power Divider, Even & Odd mode
analysis of branch line coupler and 180o hybrid coupler, Coupled line coupler and its S-matrix, Ring
coupler and its S-matrix.
Module:6 Bandpass Filter Design 6 hours
Band Pass Filter: Insertion loss method, Conversion from low pass to band pass, Design of band
pass filter using lumped elements, distributed elements, impedance inverters, coupled lines.
Module:7 MIC & MMIC Fabrication Technologies 5 hours
Hybrid MICs, Configuration, Dielectric substances, thick and thin film technology, LTCC, HTCC,
Printed Circuit Board technology (PCB), Fabrication process of MMIC.
Module:8 Contemporary issues 2 hours
Total lecture hours: 45 hours
Text Book(s)
1. D. M. Pozar, Microwave engineering, 2012, 4th Edition, John Wiley, India.
2. Leo G. Maloratsky, RF & Microwave Integrated Circuits: Passive components and control
devices, 2012, 1st Edition, Elsevier Inc., India.
Reference Books
1. Ali A Behagi, RF and Microwave Circuit Design: Updated and Revised with 100 Keysight
(Ads) Workspaces, 2017, 1st Edition, Techno Search, India.
2. Jia Sheng Hong, M. J. Lancaster, Microstrip Filters for RF/Microwave Applications, 2012, 2nd
Edition, Wiley-Blackwell, India.
3. http://www.microwaves101.com/
M.TECH (MCE) Page 77
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Recommended by Board of Studies 28-02-2016
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 78
Course Code Course Title L T P J C
ECE6019 Image Processing and Feature Extraction 3 0 2 0 4
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To provide comprehensive understanding of digital image fundamentals.
2. To impart the principles of image enhancement and filtering techniques in spatial and frequency
domain.
3. To introduce the core aspects of image segmentation and imbibe their utilization for real-time
applications.
4. To provide knowledge on the feature extraction from images and classification
Course Outcomes:
1. Explore the basic elements of digital image processing.
2. Comprehend image sampling, DFT and apprehend the rational of image transforms.
3. Process the given images to enhance them in spatial and frequency domains.
4. Evaluate the theoretical and practical aspects of segmentation for dealing with computerized
analysis.
5. Extract image features, identify and classify them.
6. Analyze the data usability for compaction aiding representation and description.
7. Comprehend the range of methods available for compression.
Student Learning Outcomes (SLO): 2, 7, 14
2. Having a clear understanding of the subject related concepts and of contemporary issues.
7. Having computational thinking (Ability to translate vast data in to abstract concepts and to
understand database reasoning)
14. Having an ability to design and conduct experiments, as well as to analyze and interpret data
Module:1 Introduction to Image Processing 6 hours
Fundamental steps in DIP – Image Sampling and Quantization - Basic relationship between pixels.
Image Transform: Two dimensional Fourier Transform- Discrete cosine transform – Multi-resolution
analysis – Haar Transform- Discrete Wavelet Transform.
Module:2 Image Enhancement 8 hours
Spatial Domain: Basic Gray level Transformations – Histogram Processing – Smoothing spatial
filters- Sharpening spatial filters.
Frequency Domain: Smoothing frequency domain filters- Sharpening frequency domain filters-
Homomorphic filtering.
M.TECH (MCE) Page 79
Module:3 Image Segmentation 8 hours
Image segmentation Techniques- Points, Edge and Corner detector - Region based approach-
Clustering- Morphological techniques
Module:4 Feature extraction Techniques 8 hours
Geometry Features - Moment based features - Boundary and Region descriptors, Texture descriptor
- Hough transform – Canny edge detector - Principal Components.
Module:5 Object Detection and Recognition 5 hours
Approaches to Object Recognition- Template matching - Neural network approach to Object
Recognition- Structural methods.
Module:6 Image and Video Compression techniques 4 hours
Lossy and lossless Techniques – JPEG – JPEG2000 – MPEG-1, MPEG-2,MPEG-4 AVC/ITU-T
H.264 standards
Module:7 Video processing 4 hours
Back ground subtraction – Motion detection – Motion estimation - Video segmentation
Module:8 Contemporary issues 2 hours
Total Lecture hours: 45 hours
Text Book(s)
1. Rafael C. Gonzalez, Richard E. Woods, Digital Image Processing, 2013, 3rd Edition, Pearson
Education, New Delhi, India.
2. Anil. K. Jain, Fundamentals of Digital Image Processing, 2012, 7th Edition, Prentice Hall, Delhi,
India.
3. Mark Nixon, Alberto Aguado, Feature Extraction & Image processing, 2012, 2nd Edition,
Elsevier academic Press, Oxford, UK.
M.TECH (MCE) Page 80
4. Al Bovik, Handbook of Image and Video processing, 2013, 2nd edition, Elsevier Academic
Press, Burlington, USA.
Reference Books
1. William K. Pratt, Digital Image Processing, 2014, 2nd Edition, John Wiley & Sons, New Jersey,
USA.
2. Richard Szeliski, Computer vision: Algorithm and Applications, 2013, 1st Edition, Springer-
Verlog, London, UK.
3. A. Murat Tekalp, Digital Video Processing, 2015, 2nd Edition, Prentice Hall, New Delhi, India.
4. Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, Digital Image Processing using
MATLAB, 2014, 2nd Edition, Pearson Education, New Delhi, India.
5. www.iprg.co.in
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final Assessment
Test (FAT)
List of Challenging Experiments (Indicative)
1. Basic array operations on image 1 hours
2. Interpolation and Decimation by factor of 2 of given image 1 hours
3. Gray level and Bitplane slicing 2 hours
4. Contrast stretching – Thresholding 2 hours
5. Basic Gray level transformations 2 hours
6. Perform histogram equalization for the given image 2 hours
7. Spatial Domain Filtering
(a) Low Pass Filtering
(b) Order Statistics Filtering
(c) High Pass Filtering
4 hours
8. Transform domain
(a) Obtain Fourier Spectrum using DFT
(b) Obtain Discrete Cosine Transform and its Spectrum
4 hours
9. Frequency Domain Filtering
(a) Low Pass Filtering
(b) High Pass Filtering
3 hours
10. Image segmentation based on color and texture feature 2 hours
11. Morphological Operations 3 hours
12. Perform feature extraction studies and compression using frequency
domain Technique 2 hours
M.TECH (MCE) Page 81
13. Perform feature extraction studies and compression using wavelet domain
Technique 2 hours
Total laboratory hours 30 hours
Mode of evaluation: Continuous Assessment & Final Assessment Test (FAT).
Recommended by Board of Studies 28-02-2016
Approved by Academic Council No. 47 Date 05-10-2017
M.TECH (MCE) Page 82
Course Code Course Title L T P J C
ECE6020 Multirate Systems 2 0 0 4 3
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To introduce the concepts of multirate signal processing.
2. To demonstrate the applications of multirate signal processing for communication systems.
3. To introduce the fundamental framework of wavelets in multirate signal processing perspective.
4. To acquaint the recent trends and technologies in multirate systems.
Course Outcome:
1. Design decimator and interpolator in both time and frequency domain.
2. Design multirate filter banks with subsequent error analysis
3. Design Perfect Reconstruction (PR) filters employing analysis and synthesis scheme
4. Design and realize linear-phase PR Finite Impulse Response Filters using lattice structures
5. Design and implement cosine modulated PR systems
6. Analyze and synthesize different wavelet basis in Time-frequency space
7. To design and realize systems using the imbibed multirate signal processing concepts
Student Learning Outcomes (SLO): 1, 2, 17
1. Having an ability to apply mathematics and science in engineering applications.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
17. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice
Module:1 Fundamentals of Multirate Systems 4 hours
Basic multirate operations, interconnection of building blocks, poly-phase representation, multistage
implementation
Module:2 Multirate Filter Banks 6 hours
Maximally decimated filter banks: Errors created in the QMF bank, alias-free QMF system, power
symmetric QMF banks. Poly-phase representation, Perfect reconstruction systems, alias-free filter
banks
Module:3 Para-unitary Perfect Reconstruction Filter Banks 4 hours
Lossless transfer matrices, filter bank properties induced by paraunitary, two channel Para-unitary
lattices, M-channel FIR Para-unitary QMF banks.
M.TECH (MCE) Page 83
Module:4 Linear Phase Perfect Reconstruction QMF Banks 3 hours
Necessary conditions, lattice structures for linear phase FIR PR QMF banks, formal synthesis of
linear phase FIR PR QMF lattice.
Module:5 Cosine Modulated Filter Banks 3 hours
Pseudo-QMF bank and its design, efficient poly-phase structures, properties of cosine matrices,
cosine modulated perfect reconstruction systems.
Module:6 Wavelet Transform 4 hours
Short-time Fourier transform, Wavelet transform, discrete-time Orthonormal wavelets, continuous-
time Orthonormal wavelets.
Module:7 Applications of multi-rate systems. 4 hours
Sub band coding, Trans-multiplexer, Conventional Digital Down Converters. Aliasing Digital Down
Converters. Timing Recovery in a Digital Demodulator. Modem Carrier Recovery. Digitally
Controlled Sampled Data Delay. Recursive All-pass Filter Delay Lines. Sigma-delta Decimating
Filter. FM Receiver and Demodulator.
Module:8 Contemporary issues 2 hours
Total lecture hours: 30 hours
Text Book(s)
1. P. P. Vaidyanathan, Multirate Systems and Filter Banks, 2012, 1st Edition, Pearson
Education, New Delhi, India.
Reference Books
1. Fredric J Harris, Multirate Signal Processing for Communication Systems, 2012, 1st Edition,
Pearson Education, New Delhi, India.
2. Gilbert Strang, Truong Nguyen, Wavelets and Filter Banks, 2012, 1st Edition, Wellesley-
Cambridge Press, Wellesley, USA.
3. N. J. Fliege, Multirate Digital Signal Processing, 2012, 1st Edition, John Wiley & Sons, New
Jersey, USA.
4. https://www.ece.umd.edu/class/enee630.F2012/slides/part-1_sec1_2_handoutPreLec.pdf
M.TECH (MCE) Page 84
Mode of Evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Typical Projects:
1. Adaptive speed control of speech without changing the pitch.
2. Filter design using optimization approach.
3. Sub band coding of speech.
4. Speech compression using discrete wavelet transform.
5. Medical signal analysis using filter bank
6. Design and analysis of Trans-multiplexer.
7. DCT analysis and synthesis system.
8. LPC analysis and synthesis of speech.
9. Study of Curvelets
10. Multirate systems for software defined radio.
11. Design and implementation of cascade integrator comb filter
12. Design of optimized DSP systems for audio processing using multirate filters and
oversampling.
13. Extrapolation Techniques.
14. Broadband multirate systems for wireless multi user communication.
15. Computer aided design of linear phase QMF filter bank.
Mode of evaluation: Review I, II and III.
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 85
Course Code Course Title L T P J C
ECE6021 Adaptive Signal Processing 2 0 0 4 3
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To introduce stochastic processes and models in LTI systems.
2. To understand the LMS algorithm for iteratively estimating the Wiener filter weights.
3. To familiarize prediction filter formulation and applications
4. To derive the Lattice filter architecture from the Levinson-Durbin algorithm.
Course Outcomes:
1. Derive the response of LTI system to stochastic processes.
2. Comprehend and derive the Wiener filter for signals with known properties.
3. Familiar with the Lattice filter implementation of the prediction filter.
4. Analyze the convergence Properties of steepest descent.
5. Apply LMS algorithm to the lattice structure to improve convergence times.
6. Use Recursive Least Squares algorithms in signal processing.
7. Convergent with Unsupervised Adaptive filters applications.
Student Learning Outcomes (SLO): 1, 2, 17
1. Having an ability to apply mathematics and science in engineering applications.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
17. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice
Module:1 Adaptive Systems and Signal Analysis 4 hours
Signal Processing in unknown environments: System identification and Linear prediction-
Stochastic Processes-Responses of LTI system to stochastic processes
Module:2 The Mean Square Error (MSE) Performance Criteria 4 hours
Introduction to Mean Square Error (MSE) and MSE Surface-Properties of the MSE Surface: The
Normal Equations- Geometrical Properties of the Error Surfaces - Wiener filter.
Module:3 Linear Prediction and the Lattice Structure 4 hours
Levinson Durbin's Algorithm - Lattice Derivation-Forward and backward prediction-Adaptive
lattice structures.
M.TECH (MCE) Page 86
Module:4 The Method of Steepest Descent 4 hours
Iterative Solution of the Normal Equations- Weight Vector Solutions –Convergence Properties of
Steepest Descent - Mean Square Error Propagation
Module:5 The Least Mean Squares (LMS) Algorithm 4 hours
Effects of Unknown Signal Statistics- Derivation of the LMS Algorithm- Convergence of the LMS
Algorithm - LMS Mean Square Error Propagation-Normalized LMS Algorithm
Module:6 Recursive Least Squares Signal Processing 4 hours
Recursive Least squares (RLS) Adaptive Algorithms-Performance of RLS Adaptive Algorithms-
Convergence of RLS versus LMS-QR RLS Algorithm.
Module:7 Unsupervised Adaptive filters 4 hours
Blind Equalizers –Sato Algorithm –Godard algorithms
Module:8 Contemporary Issues 2 hours
Total lecture hours: 30 hours
Text Book(s)
1. Bernard Widrow, Samuel D. Stearns, Adaptive signal processing, 2012, 1st Edition, Pearson
Education, New Delhi, India.
2. Simon Haykin, Adaptive Filter Theory, 2012, 4th Edition, Pearson Education, New Delhi, India.
Reference Books
1. John R. Treichler, C. Richard Johnson, Michael G. Larimore, Theory and Design of Adaptive
filters, 2012, 1st Edition, John Wiley & Sons, New Jersey, USA.
2. Behrouz Farhang, Boroujeny, Adaptive filters: Theory and Applications, 2013, 2nd Edition,
John Wiley & Sons, New Jersey, USA.
3. Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon, Statistical and Adaptive Signal
processing, 2014, 1st Edition, The McGraw Hill Education, New Delhi, India.
4. http://www.cs.tut.fi/~tabus/course/ASP/Lectures_ASP.html
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
M.TECH (MCE) Page 87
Typical Projects:
1. Active noise control using adaptive filters
2. Adaptive cancellation of power line interference
3. Adaptive I/Q mismatch compensation.
4. Adaptive histogram equalization
5. Target tracking using Kalman filtering
6. Adaptive DPCM
7. Blind acoustic source separation using Nonlinear Adaptive Techniques
8. Adaptive channel equalization
9. Emperical mode decomposition.
10. Adaptive speaker Tracking.
11. Fetus heart beat detection.
12. Blind channel equalization.
13. Adaptive Interacting Multiple Model Technique.
14. Integration of wavelet with adaptive filtering.
15. Adaptive system for physical modeling of musical signals.
Mode of evaluation: Review I, II and III.
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 88
Course Code Course Title L T P J C
ECE6022 Optical Broadband Access Networks 2 0 0 4 3
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To provide a deep insight on enabling technologies for access networks.
2. To understand broadband access networks.
3. To familiarize the concept of network topology and access techniques.
4. To introduce long reach optical access and metro networks and WiMAX.
Course Outcomes:
1. Understand various enabling technologies for broadband access networks.
2. Analyze various multiple access schemes for broadband wireless technology.
3. Know various optical network topologies.
4. Understand various enabling broad band wireless technologies.
5. Understand the concepts of long reach and metro optical network.
6. Understand wireless access networks and Wi-MAX.
7. Deploy and test real-time implementation of optical broadband access networks.
Student Learning Outcomes (SLO): 2, 6, 17
2. Having a clear understanding of the subject related concepts and of contemporary issues.
6. Having an ability to design a component or a product applying all the relevant standards and
with realistic constraints.
17. Having an ability to use techniques, skills and modern engineering tools necessary for
engineering practice
Module:1 Introduction and Enabling Technologies 4 hours
The anatomy of an access network, the evaluation path typical access networks, broad band copper
access network using ADSL2,VDSL2 Technology, fiber to the home/building (FTTH/B) access
network, point to point Ethernet FTTH, passive optical network (PON) FTTH, wavelength division
multiplexing (WDM) PON FTTH, hybrid fiber coax running DOCSIS protocol, wireless access
network
Module:2 Enabling Techniques For Broad Band Access Networks 3 hours
Fiber in the access network: Fiber-DSL, hybrid fiber –coax, fiber –wireless, fiber to the home. basic
optical access network components: Optical fiber, optical power splitter, wavelength routing devices
M.TECH (MCE) Page 89
Module:3 Network Topology & Access Techniques 4 hours
FTTH network topologies: Point to point, point to multipoint, cost aspects. Multiple access
techniques for a PON: Time division multiple access, subcarrier multiple access, optical code
division multiple access, wavelength division multiple access. Radio over fiber, free space optical
communication
Module:4 Enabling Broadband Wireless Technologies 5 hours
Modulation: Use of limited power, phase shift keying modulation, quadrature amplitude modulation,
orthogonal frequency division multiplexing (OFDM). Coding techniques: Block Codes, convolution
codes, turbo coding (TC), space time coding, coded modulation techniques. Adaptive modulation
and coding (AMC). Multiple access techniques: Frequency division multiple access, time division
multiple access, orthogonal frequency division multiple access, Combination of OFDM and CDMA
system, carrier sense multiple access protocol.
Module:5 Long Reach Optical Access Networks 4 hours
Research challenges: Signal power compensation, optical source, burst mode receiver, upstream
resource allocation. Demonstration of LR, PON-PLANET super PON, dynamic bandwidth
assignment.
Module:6 Optical Access and Metro Networks 3 hours
Introduction, optical regional access network, Stanford university access network, metro access
ring integrated network, OBS access metro networks. STARGATE- architecture, discovery and
registration, dynamic bandwidth allocation and application.
Module:7 Optical –Wireless Access Networks and WiMAX 5 hours
RoF: Introduction, basic technologies, RoF application areas, networking concepts and techniques.
Integration of EPON and WiMAX: Introduction, integrated architecture for EPON and WiMAX,
design and operation issues. Introduction to WiMAX, point to point, multipoint WiMAX networks,
WiMAX mesh mode, mobility in WiMAX networks
Module:8 Contemporary Issues 2 hours
Total lecture hours: 30 hours
Text Book(s)
M.TECH (MCE) Page 90
1. Abdallah Shami, Martin Maeir, Chadi Assi, Broadband Access Network Technologies and
Deployment (Optical Networks), 2014, 1st Edition, Springer, India.
Reference Books
1. Leonid G. Kasovsky, Ning Cheng, Wei-tao Shaw, Shingwa Wong, Broad Band OpticalAccess
Networks, 2012, 1st Edition, Wiley-Blackwell, India.
2. Ivan Kaminov, Tingye Li, Alan E. Wilner, Optical Fiber Telecommunications VI B Systems
and Networks, 2013, 6th Edition, Academic Press, India.
3. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/service-provider
strategy/white_paper_c11-690395.html
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Typical Projects:
1. Pre-emptive multi-wavelength scheduling in hybrid WDM/TDM passive optical networks
2. Interleaved polling versus multi-thread polling for bandwidth allocation in long-reach PONs
3. Wavelength hopping passive optical network (WH-PON) for provision of enhanced physical
security
4. Scalable Passive Optical Network Architecture for Reliable Service Delivery
5. RPR-EPON-WiMAX hybrid network: A solution for access and metro networks
6. Interleaved polling versus multi-thread polling for bandwidth allocation in long-reach PONs
7. OCDMA Network design
8. Reducing Energy consumption in Green PON
9. Resource Allocation in WDM PON
10. EPON authorize discovery process scheduling algorithm and Scheduling
11. Energy efficient DB Algorithms
12. Colourless PON Architectures
13. Hybrid WDM/TDM routing
14. Performance Evaluation Of Hybrid OFDM/CDMA For wireless network.
15. Implementation of Turbo encoder and decoder
16. Comparison of Cable Modem and DSL technologies
17. Performance evaluation of Wi MAX and Wi Fi Networks
18. Optical Time Division Multiplexing and De multiplexing Techniques
19. Design and performance evaluation of radio over fiber system incorporating different
modulation techniques
20. Dense wavelength division multiplexing
21. Free space optical communication through atmospheric turbulence channels
Mode of evaluation: Review I, II and III.
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 91
Course Code Course Title L T P J C
ECE6023 RF MEMS 3 0 0 0 3
Pre-requisite Nil Syllabus version
1.0
Course Objectives:
1. To have the essential knowledge of various planar microstrip circuits.
2. To design and analyze various types of RF MEMS filters and resonator.
3. To acquaint the design of MEMS based circuits.
Course Outcome:
1. Comprehend the importance of micro machines and various transducers.
2. Understand the fabrication techniques for MEMS circuits.
3. Discern the principles of various MEMS devices.
4. Design and analyze RF MEMS resonators.
5. Design and analyze RF MEMS filters.
6. Understand the MEMS based circuits.
Student Learning Outcomes (SLO): 1, 2, 4
1. Having an ability to apply mathematics and science in engineering applications.
2. Having a clear understanding of the subject related concepts and of contemporary issues.
4. Having Sense-Making Skills of creating unique insights in what is being seen or observed
(Higher level thinking skills which cannot be codified)
Module:1 Evolution of Microsystems 2 hours
Benefits of micro systems, concept of micro machines/ micro systems, Scaling laws, nanomachines.
Module:2 Introduction to Sensors, Actuators and Mathematical
Models
2 hours
Various domains and classification of transducers: electrostatic, piezoelectric, thermal sensing
principles: electrostatic, resistive, chemical etc. SAW devices.
Module:3 Surface Bulk Micro Machining 5 hours
Overview of silicon processes techniques, micro machining techniques and special processes for
MEMS, polymer MEMS, recent advances in MEMS fabrication.
Module:4 RF MEMS Devices 11 hours
M.TECH (MCE) Page 92
Enabled circuit elements and models – RF/Microwave substrate properties, Micro machined –
enhanced elements – capacitors, inductors, varactors, MEM switch – shunt MEM switch, low
voltage hinged MEM switch approaches, push-pull series switch, folded –beam – springs suspension
series switch, MEMS modeling – mechanical modeling, electromagnetic modeling.
Module:5 MEMS Resonators 4 hours
Transmission line planar resonators, cavity resonators, micromechanical resonators, film bulk
acoustics wave resonators.
Module:6 RF MEMS filters and Oscillators 9 hours
A Ka-Band millimeter-wave Micro machined tunable filter, A High-Q 8 MHz MEM Resonators
filter, RF MEMS Oscillators – fundamentals, A14GHz MEM Oscillator, A Ka-Band Micro
machined cavity oscillator.
Module:7 RF MEMS Based Circuit Design 10 hours
Phase shifters – fundamentals, X-Band RF MEMS phase shifter for phased array applications, Ka-
Band RF MEMS phase shifter for radar systems applications, Film bulk acoustic wave filters –
FBAR filter fundamentals, FBAR filter for PCS application
Module:8 Contemporary issues 2 hours
Total Lecture hours: 45 hours
Text Book(s)
1. Hector J. De Los Santos, RF MEMS Circuit Design for Wireless Communications, 2012, 1st
Edition, Artech House, India.
2. Stepan Lucyszyn, Advanced RF MEMS(The Cambridge RF and Microwave Engineering
Series, 2012, 1st Edition, Cambridge University Press, India.
Reference Books
1. Vijay K. Varadan, K. J. Vinoy, K.A. Jose, RF MEMS and their Applications, 2012, 1st Edition,
John Wiley and sons, India.
2. Gabriel M. Rebeiz, RF MEMS Theory, Design & Technology, 2013, 1st Edition, Wiley
Interscience, India.
3. http://ocw.mit.edu/index.htm
M.TECH (MCE) Page 93
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
M.TECH (MCE) Page 94
Course Code Course Title L T P J C
CSE6051 Information And Network Security 3 0 0 0 3
Pre-requisite Nil Syllabus version
1.1
Course Objectives:
1. To familiarize the basic concepts in security mechanism, classical and traditional Encryption
techniques.
2. To teach the significance of public key mechanism, message authentication and digital signature
in cryptography.
3. To acquaint the different types of network security and its significance.
Course Outcomes:
1. Comprehend and analyze OSI Security Architecture and Symmetric Key Encryption.
2. Comprehend the various mathematic techniques in cryptography including number theory,
Finite Field, modulo operator and Discrete Logarithm.
3. Analyze block ciphers, Data Encryption Standard (DES), Advanced Encryption Standard (AES)
and public key cryptography.
4. Analyze Diffie-Hellman key exchange, ElGamal Cryptosystem in asymmetric key cryptosystem
and authentication schemes.
5. Understand the different types of network security protocols and its standards.
6. Know the various network security mechanisms.
Student Learning Outcomes (SLO): 1,2,5
1. Having an ability to apply mathematics and science in engineering applications
2. Having a clear understanding of the subject related concepts and of contemporary issues
5. Having design thinking capability
Module:1 Introduction 6 hours
Need of Security – OSI Security architecture – Security attacks – Security mechanisms – Model for
network security – Information security management lifecycle –Classical Techniques - Substitution
– Transposition
Module:2 Mathematics of Cryptography 8 hours
Number Theory, Finite Fields, Fermat’s and Euler’s Theorems - Euler’s Totient function - The
Chinese Remainder Theorem, Discrete Logarithms, Elliptic and Hyper elliptic curve Arithmetic.
Module:3 Secret Key Cryptography 8 hours
M.TECH (MCE) Page 95
Block ciphers and Data Encryption Standard (DES): Double DES – Triple DES. Advanced
Encryption Standard (AES) – IDEA.
Module:4 Public Key Cryptography 8 hours
Principles of Public Key Cryptography - RSA – Elliptic Curve Cryptography (ECC) – Digital
Signatures - Key Management: Diffie-Hellman key exchange - Elgammal cryptosystem - Kerberos.
Hash Functions: SHA and MD5 - Message Authentication Codes: HMAC.
Module:5 Network Security Protocols and Standards 5 hours
Application level security: PGP, S/MIME, HTTPS and SET. Security in transport layer: SSL and
TLS. Security in Network Layer: IPsec, Internet Key Exchange (IKE) and VPN.
Module:6 Network Periphery Security 4 hours
Fire walls – Scanning, filtering and blocking – Virus filtering – Content filtering – Spam - Wireless
LAN: WEP and Honeypots.
Module:7 Cyber Crimes, Hackers and Forensics 4 hours
Cyber Crimes and Laws – Hackers – Dealing with the rise tide of Cyber Crimes – Forensics analysis.
Module:8 Contemporary issues: 2 hours
Total Lecture hours: 45 hours
Text Book(s)
1. William Stallings, Cryptography and Network security: Principles and Practice, 2014, 5th
Edition, Pearson Education, Noida, India.
2. Joseph Migga Kizza, Computer Network Security, 2012, 1st Edition, Springer Science &
Business Media, New York, USA.
Reference Books
1. Christof Paar, Jan Pelzl, Understanding Cryptography – A Textbook for Students and
Practitioners, 2014, 1st Edition, Springer Science & Business Media, New York, USA.
2. Behrouz A. Forouzan, Debdeep Mukhopadhyay, Cryptography & Network Security, 2013, 3rd
Edition, The McGraw Hill Education, New Delhi, India.
M.TECH (MCE) Page 96
3. Charlie Kaufman, Radia Perlman, Mike Speciner, Network Security: Private Communication
in a public World, 2016, 2nd Edition, Pearson Education, Noida, India.
4. http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-857-network-and-
computer-security-spring-2014/
Mode of evaluation: Internal Assessment (CAT, Quizzes, Digital Assignments) & Final
Assessment Test (FAT)
Recommended by Board of Studies 13-12-2015
Approved by Academic Council No. 40 Date 18-03-2016
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